Journal articles: 'Antenna Selection'

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Li, Jie, Shuang Zhi Li, Xiao Min Mu, and Jian Kang Zhang. "Joint Transmit Antenna Selection and User Selection in Cognitive Radio MIMO Systems." Applied Mechanics and Materials 548-549 (April 2014): 1355–58. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1355.

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Using multiple antennas in coexisting radio systems can cancel or control the co-channel interference and hence improves the overall spectrum efficiency. However, the hardware complexity and costs limit the usage of multiple-antenna technology. Antenna selection may reduce such costs while partly remaining the advantage of the multiple-antenna technology. In this paper, a fixed power cognitive radio system model jointly combined with antenna selection and users selection is set up. And the mathematical closed-form expressions of the channel capacity and bit error rate (BER) are obtained through mathematical derivation. Simulation verifies the correctness of theoretical results and shows that the system exists an optimal transmit power which optimizes the system performance. Furthermore, the influences of users number and antennas number on the system performance have been studied.

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Ou, Yang, and Yi Ming Wang. "Spectrum Sensing Optimization Based on Multiple Antennas for Cognitive Radio Networks." Applied Mechanics and Materials 443 (October 2013): 363–67. http://dx.doi.org/10.4028/www.scientific.net/amm.443.363.

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To protect the primary user and improve the credibility of spectrum sensing, a spectrum sensing optimization algorithm based on antenna selection is proposed in this paper. In the case where the channel coefficient and signal-to-noise ratio are not known, one antenna weighting and selection algorithm based on auto-correlation is proposed. This algorithm can also be used to distinguish whether it is necessary for antennas selection so as to optimize spectrum sensing performance. Based on auto-correlation ratio, selecting parts of the antennas to cooperatively sense spectrum can maximize the detection probability. Simulations are used to verify the method. The results indicate that the proposed antenna weighting and selection algorithm can be able to optimize network performance.

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Saini, Mehak, and Surender K. Grewal. "Transmit Antenna Selection Methods For Mimo Systems In Wireless Communications." Journal of University of Shanghai for Science and Technology 23, no. 08 (August 16, 2021): 523–31. http://dx.doi.org/10.51201/jusst/21/08424.

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Though MIMO systems improve performance of a wireless communication network by the usage of multiple antennas, demand of distinct set of RF chain (i.e., electronic components required for antenna transmission and reception, in wireless communication) for all the antennas leads to an increase in complexity and cost. Antenna selection technique of MIMO has proved to be a good means to solve this issue. Antenna Selection methods find optimal number of antennas required out of the total antennas present in the MIMO (Multiple Input Multiple Output) system. The selection of antenna can be performed at both ends of the communication network i.e., transmitter or receiver. In this paper, an overview of various Transmit Antenna Selection techniques for various MIMO systems is presented.

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Wang, Chaowei, Weidong Wang, Cheng Wang, Shuai Wang, and Yang Yu. "A Fast Adaptive Receive Antenna Selection Method in MIMO System." International Journal of Antennas and Propagation 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/175783.

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Antenna selection has been regarded as an effective method to acquire the diversity benefits of multiple antennas while potentially reduce hardware costs. This paper focuses on receive antenna selection. According to the proportion between the numbers of total receive antennas and selected antennas and the influence of each antenna on system capacity, we propose a fast adaptive antenna selection algorithm for wireless multiple-input multiple-output (MIMO) systems. Mathematical analysis and numerical results show that our algorithm significantly reduces the computational complexity and memory requirement and achieves considerable system capacity gain compared with the optimal selection technique in the same time.

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Taluja, Pawandeep S., and Brian L. Hughes. "Optimal Antenna Selection Designs for Coupled MIMO Systems." International Journal of Antennas and Propagation 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/694627.

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We consider the impact of antenna mutual coupling on receive antenna selection systems. Prior work on selection with mutual coupling has not considered the effects of the inactive (i.e., unselected) antenna terminations and spatial noise correlation. In this work, we show that the presence of inactive antennas can profoundly alter system performance when the antennas are strongly coupled. We also propose a new antenna selection technique that seeks to exploit coupling to improve performance. Simulations suggest that the new technique can significantly outperform traditional selection when coupling is present.

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Zheng, Nae, Xiu Kun Ren, Peng Dong, and Shi Lei Zhu. "A Novel Antenna Selection Algorithm Based on Port Selection in Distributed MIMO Systems." Applied Mechanics and Materials 687-691 (November 2014): 3956–62. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3956.

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The antenna number in distributed MIMO system is much larger than that in distributed antenna system (DAS) and traditional centralized MIMO system. Therefore adopting the existing antenna selection algorithms with excellent performance will make it difficult to realize the system due to the complexity of the algorithms. In order to solve the problem, a novel antenna selection algorithm performed at the base station (BS) is proposed according to the structural characteristics of the system. In the proposed algorithm, the antenna search scope is narrowed down by port selection based on the trace of the sub-channel matrices, and antennas with little contributions to the system capacity are removed gradually by iteratively updating the optimization parameter, which further reduces the complexity. When this algorithm is treated as the transmit antenna selection algorithm, its port selection process is performed by the user equipment, which can reduce the feedback overhead. Simulation results show that the proposed algorithm possesses the similar system capacity with the optimal algorithm.

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Legkiy, N. M., and N. V. Mikheev. "Selection of location of radiators in a non-equivident antenna array." Russian Technological Journal 8, no. 6 (December 18, 2020): 54–62. http://dx.doi.org/10.32362/2500-316x-2020-8-6-54-62.

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Antennas are one of the main elements of radio engineering systems. Phased antenna arrays (PAR), which make it possible to regulate the direction of radiation due to the ability to control the phases or phase differences of the emitted signal, are the most effective types of antennas. The size, design and shape of the PAR depend on the tasks to be solved, the type of emitters and the nature of their location. The article discusses the transformation of an equidistant PAR into a non-equidistant antenna array in order to reduce the level of side lobes and suppress diffraction maxima with a given minimum distance between the emitters. A model of a non-equidistant antenna array and calculation formulas for its analysis are presented. The method presented in the work based on iterative calculation methods makes it possible to select the main parameters of a non-equidistant PAR taking into account the bonds formed between neighboring radiating elements. The coordinates of the emitter elements of the non-equidistant PAR were calculated in a program using the MATLAB language. At the same time, a method was implemented to search for the optimal arrangement of emitters relative to each other, in which the directional pattern of the antenna array will have a minimum level of diffraction maxima and the required level of side lobe. According to the results of the program execution, the coordinates of the new non-equidistant PAR were obtained. The non-equidistant phased array antenna simulated according to the calculation results showed a complete absence of diffraction maxima, in contrast to the equidistant array, but it was not possible to sufficiently obtain the required level of side lobes. The calculated antenna radiation patterns presented for comparison showed the advantages of a non-equidistant antenn array.

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Chien-Hsiang Wu, Chien-Hsiang Wu, and Chin-Feng Lai Chien-Hsiang Wu. "Data-driven Diversity Antenna Selection for MIMO Communication using Machine Learning." 網際網路技術學刊 23, no. 1 (January 2022): 001–9. http://dx.doi.org/10.53106/160792642022012301001.

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With the popularity of wireless application environments, smart antenna technology has completely changed the communication system. In order to improve the quality of wireless transmission, smart antennas have been widely used in wireless devices. Wireless signal modeling and prediction machine learning gradually replaced the traditional smart antenna selection method in the antenna selection solution. This article utilizes mobile devices to adjust the diversity antenna pattern for test verification in a MIMO wireless communication environment. The proposed method manipulates signal parameters through error vector magnitude (EVM) and adds data-driven training data. The results show that the SVM and NN methods proposed in this paper are 10.5% and 14% higher than the traditional EVM calculation methods, respectively. Thereby, realize precise antenna adjustment of mobile devices and improving wireless transmission quality.

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Qian, Kun, Wen-Qin Wang, and Huaizong Shao. "Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications." International Journal of Antennas and Propagation 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/159375.

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Transmit antenna selection plays an important role in large-scale multiple-input multiple-output (MIMO) communications, but optimal large-scale MIMO antenna selection is a technical challenge. Exhaustive search is often employed in antenna selection, but it cannot be efficiently implemented in large-scale MIMO communication systems due to its prohibitive high computation complexity. This paper proposes a low-complexity interactive multiple-parameter optimization method for joint transmit antenna selection and beamforming in large-scale MIMO communication systems. The objective is to jointly maximize the channel outrage capacity and signal-to-noise (SNR) performance and minimize the mean square error in transmit antenna selection and minimum variance distortionless response (MVDR) beamforming without exhaustive search. The effectiveness of all the proposed methods is verified by extensive simulation results. It is shown that the required antenna selection processing time of the proposed method does not increase along with the increase of selected antennas, but the computation complexity of conventional exhaustive search method will significantly increase when large-scale antennas are employed in the system. This is particularly useful in antenna selection for large-scale MIMO communication systems.

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Gaikwad, Snehal, and P. Malathi. "A Performance Analysis of Massive MIMO System using Antenna Selection Algorithms." International Journal of Electrical and Electronics Research 11, no. 1 (March 30, 2023): 126–31. http://dx.doi.org/10.37391/ijeer.110117.

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A large number of transmitting components makes Massive Multiple-Input Multiple-Output (MIMO) one of the most hopeful solution for the 5G technology. However, a large antenna system boosts the hardware intricacy and cost of the system because of RF transceivers used at the base station for every antenna element. Hence, antenna selection is one of the most effective schemes to select a good subset of antennas with the finest channel circumstances and contribute maximum to the channel capacity. This paper presents Branch and Bound (BAB) algorithm for efficient antenna selection in Massive MIMO technology. The effectiveness of the simulated BAB algorithm is evaluated based on channel capacity and compared with the traditional state of arts such as fast antenna selection algorithm, Exhaustive Search, Fast antenna selection, CBF, CBW, Random antenna selection, etc. Sunflower Optimization-based antenna selection has been shown to provide improved results in terms of channel capacity when compared to the traditional Branch and Bound algorithm. The results indicate that the Sunflower Optimization technique is a promising alternative for antenna selection in Massive MIMO systems, especially in cases where a large number of antennas are present at the transmitter and receiver ends. The proposed solution provides significant improvements over the traditional methods, making it an attractive option for optimizing MIMO performance in future wireless communication systems.

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Taneja, Ashu, and Nitin Saluja. "A Comparison of Norm Based Antenna Selection and Random Antenna Selection with Regard to Energy Efficiency in Wireless System with Large Number of Users." International Journal of Sensors, Wireless Communications and Control 10, no. 2 (September 15, 2020): 189–96. http://dx.doi.org/10.2174/2210327909666190319145555.

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Background: The paper considers the wireless system with large number of users (more than 50 users) and each user is assigned large number of antennas (around 200) at the Base Station (BS). Objective: The challenges associated with the defined system are increased power consumption and high complexity of associated circuitry. The antenna selection is introduced to combat these problems while the usage of linear precoding reduces computational complexity. The literature suggests number of antenna selection techniques based on statistical properties of signal. However, each antenna selection technique suits well to specific number of users. Methods: In this paper, the random antenna selection is compared with norm-based antenna selection. It is analysed that the random antenna selection leads to inefficient spectral efficiency if the number of users are more than 50 in Multi-User Multiple-Input Multiple Output (MU-MIMO) system. Results: The paper proposes the optimization of Energy-Efficiency (EE) with random transmit antenna selection for large number of users in MU-MIMO systems. Conclusion: Also the computation leads to optimization of number of transmit antennas at the BS for energy efficiency. The proposed algorithm results in improvement of the energy efficiency by 27% for more than 50 users.

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Hu, Chia-Chang, Jheng-Siang Li, and Bo-Liang Wu. "Layered Capacity-Based Relay-and-Antenna Joint Selection for MIMO-AF-Multiple-Relay Systems in Correlated Channels." International Journal of Antennas and Propagation 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/681713.

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A computationally efficient two-stage greedy capacity maximization (GCM) relay-and-antenna joint selection is proposed for a dual-hop nonregenerative amplify-and-forward (AF) multiple-input multiple-output (MIMO) multiple-relay system with multiple antennas equipped at each node in correlated fading channels. This modified GCM (MGCM) antenna selection strategy selects a subset of antenna pairs from available relays based on the concept of channel capacity maximization subject to an optimal power allocation constraint across the activated antenna pairs. In order to reduce system hardware complexity, antenna selection schemes are performed at the destination node as well. Finally, simulations are conducted to compare the channel capacity of the proposed two-layered antenna selection technique with other existing antenna selection algorithms for half-duplex AF-MIMO multiple-relay systems.

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Singal, Anuj, and Deepak Kedia. "Energy Efficiency Analysis of Antenna Selection Techniques in Massive MIMO-OFDM System with Hardware Impairments." Journal of Computer Networks and Communications 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/6131247.

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In massive multiple-input multiple-output (M-MIMO) systems, a large number of antennas increase system complexity as well as the cost of hardware. In this paper, we propose an M-MIMO-OFDM model using per-subcarrier antenna selection and bulk antenna selection schemes to mitigate these problems. Also, we derive a new uplink and downlink energy efficiency (EE) equation for the M-MIMO-OFDM system by taking into consideration the antenna selection schemes, power scaling factor (g=0.25, 0.5), and a range of hardware impairments {κBS, κUEϵ (0, 0.052, 0.12)}. In addition, we investigate a trend of EE by varying various parameters like number of base station antennas (BSAs), SNR, level of hardware impairments, total circuit power consumption, power optimization, antenna selection schemes, and power scaling factor in the proposed M-MIMO-OFDM model. The simulation results thus obtained show that the EE increases with increase in the value of SNR. Also, it increases abruptly up to 100 number of BSA. However, the increase in the EE is not significant in the range of 125 to 400 number of BSA. Further, the bulk antenna selection technique has comparatively more EE than the per-subcarrier antenna selection. Moreover, EE gaps between antenna selection schemes decrease with increase in the value of hardware impairments and power scaling factor. However, as the hardware degradation effect increases, the EE of the bulk antenna selection scheme suffers more degradation as compared to the Per-subcarrier antenna selection scheme. It has also been observed that EE performance is inversely proportional to the total circuit power consumption (λ+γ) and it increases with the power optimization.

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Zheng, Bowen, Songlin Sun, and Guoyuan Shao. "Cooperative Antenna Selection Method for Directional Antenna Ad Hoc Networks Based on ALOHA." Wireless Communications and Mobile Computing 2021 (March 31, 2021): 1–15. http://dx.doi.org/10.1155/2021/5583653.

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In recent years, directional antennas or phased array antennas are being widely used in communication systems due to the higher antenna gains. However, without external time synchronization and angle synchronization, the unsynchronized node usually takes a long time to synchronize with the existing nodes due to the narrow beams. Although the multibeam transmission or the digital phased array antenna can reduce this problem, it is clear that the cost of the digital phased array antenna is currently too high. Without external time synchronization and angle synchronization, a cooperative antenna selection method based on directional antennas is proposed in this paper. Our method only uses the narrow beams to transmit and to receive and reduces the time for self-synchronization. In this paper, we give the expression of the expected average time for the self-synchronization of multiple nodes, transform the problem into the problem of finding the minimum value of the infinite norm of the sequence, and then propose a cooperative antenna selection method which calculates the optimal transmission probability distribution of the node in different directions through parameter sharing and relative geometric position relationship between nodes. Finally, we verify the proposed method through simulation, and the number of beams is set between 6 and 10. In a typical scenario of five nodes, our method reduces the maximum average self-synchronization time by 50% averagely, compared with the traditional method which sends the different antenna beams at equal probability.

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Yang, Xiaofeng. "Transmit Antenna Selection for Sum-Rate Maximization with Multiclass Scalable Gaussian Process Classification." International Journal of Antennas and Propagation 2023 (July 29, 2023): 1–7. http://dx.doi.org/10.1155/2023/3547030.

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Antenna selection techniques are extensively applied to reduce hardware cost and power consumption in multiple-input multiple-output (MIMO) systems. This paper proposed a low-cost antenna selection method for system sum-rate maximization based on multiclass scalable Gaussian process classification (SGPC) which is capable to perform analytical inference and is scalable for massive data. Simulation results show that the average sum-rate obtained by SGPC is 1. 9 bps/Hz more than that obtained by conventional optimization driven user-centric antenna selection (UCAS) algorithm and 1 bps/Hz more than that obtained by the up-to-date learning scheme based on a deep neural network (DNN) when signal-to-noise ratio (SNR) is 10 dB, the number of total antennas at BS is 6, the number of selected antennas is 4, and the number of single-antenna users is 4. The superiority of SGPC over UCAS and DNN is more obvious as SNR, the number of selected antennas, or the number of users increases.

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Jo, A.-Min, Jeong-Eun Oh, and Eui-Rim Jeong. "Transmit Antenna Selection Based on SNR prediction in TDD Systems Using Convolutional Neural Network." International Journal of Electrical and Electronics Research 11, no. 2 (June 30, 2023): 500–505. http://dx.doi.org/10.37391/ijeer.110235.

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This paper proposes a method for predicting future signal-to-noise ratio (SNR) in a time-division-duplexing (TDD) mobile communication environments using a convolutional neural network (CNN). The communication system uses multiple receive antennas and transmit using only one or two antennas among them. A CNN model is proposed to predict the SNR at a future transmission time based on past SNRs received from multiple antennas. The probability of reception at a certain is set to 10-100%. In case that SNR cannot be measured due to the absence of reception, linear interpolation is performed using two adjacent recorded SNRs. If even two adjacent SNRs do not exist, the SNR is set to 0dB. Comparing the predicted SNRs at multiple antennas, the antenna with the highest SNR value is selected for future transmission. To verify antenna selection accuracy, computer simulation is conducted. The simulation results substantiate the superiority of the proposed method over conventional method in single antenna selection. Regarding multi-antenna selection, the proposed method demonstrates diminished accuracy relative to conventional methods at lower speeds. Nevertheless, a comprehensive evaluation considering the root mean square error (RMSE) demonstrates the overall superiority of the proposed method across all speeds.

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Zhang, Gangsheng, Junwei Xie, Haowei Zhang, Zhengjie Li, and Cheng Qi. "Dynamic Antenna Selection for Colocated MIMO Radar." Remote Sensing 14, no. 12 (June 18, 2022): 2912. http://dx.doi.org/10.3390/rs14122912.

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Antenna distribution plays an important role for the performance gain in multiple-input–multiple-output (MIMO) radar target tracking. Since to meet the requirements of the low probability of interception, especially in a hostile environment, only a finite number of antennas can be activated at each step. This naturally leads to a performance-driven resource management problem. In this paper, a dynamic antenna selection strategy is proposed for tracking targets in colocated MIMO radar. The derived posterior Cramér–Rao lower bound (PCRLB) of joint direction-of-arrival (DOA) and Doppler estimate were chosen as the optimization criteria. Furthermore, in the deviation, the target radar cross-section (RCS) as the determining variable and the random variable are both discussed. The objective function is related to the antenna allocation and non-convex, and an efficient fast discrete particle swarm optimization (FDPSO) algorithm is proposed for the solution exploration. Additionally, a closed-loop feedback system is established, where the main idea is that the tracking information from the current time epoch is utilized to predict the PCRLB and to guide the antenna adjustment for the next time epoch. The simulation results demonstrate the performance improvement compared with the three fixed-antenna configurations. Moreover, the FDPSO can provide close-to-optimal solutions while satisfying the real-time demand.

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Du, Liping, Ying Tan, Yiming Li, and Yueyun Chen. "On the Energy Efficiency of Multicell Massive MIMO with Antenna Selection and Power Allocation." Wireless Communications and Mobile Computing 2022 (April 22, 2022): 1–11. http://dx.doi.org/10.1155/2022/7224731.

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The energy consumption of massive multiple-input multiple-output (MIMO) systems increases with the number of antennas. Optimizing the energy efficiency (EE) of massive MIMO systems is one of the ways to achieve green communication. This paper proposes an EE optimization method that genetic algorithm-based antenna selection and power allocation (GA-AS+PA) for the downlink of a multicell massive MIMO system under the restriction of the users’ sum-rate. First, we use the genetic algorithm to determine the active transmitting antenna of each base station (BS). Then, the transmission power for each user is allocated using the convex optimization method. Finally, the EE of system is optimized under the achieved optimum BS’s transmit power and the number of active antennas. From the simulation results, the GA-AS+PA method can improve the EE of the system while meeting user sum-rate requirements, which achieves better performance compared with random antenna selection+equal power allocation method (RAS+EPA), random antenna selection+power allocation method (RAS+PA), the antenna selection method based on genetic algorithm+equal power allocation method (GA-AS+EPA), and equal power allocation (EPA) these four methods. The EE of the proposed GA-AS+PA method is improved by 33.3% compared to the EPA method.

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Hlal Mutlaq, Ali, Mohammed Ayad Saad, Faris Hassan Tata, and Ghanim Thiab Hasan. "Analysis the efficiency of multi-input-multi-output (MIMO) transmit receive systems." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (January 1, 2022): 190. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp190-196.

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Transmit antennas are chosen in multi-input-multi-output (MIMO) systems. Effective in improving system capacity while lowering RF connection costs and simplifying the system. Complete method with greatest accuracy for joint transmits and receive antenna selection (JTRAS), capable of scanning all subsets of both transmitting and receiving antennas for the optimal solution. However, when as the number of antennas but also computational complexity increase grows too great, limiting its application. Antennas are coded fractionally channel capacity maximizing coding is used as a basic criterion in this paper, and an intelligent algorithm Particle swarm algorithm, generic algorithm are used to pick antennas. The simulation results show that both algorithms are capable of performing antenna selection.

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Aredo, Shenko Chura, Yalemzewd Negash, Yihenew Wondie Marye, Hailu Belay Kassa, Kevin T. Kornegay, and Feyisa Debo Diba. "Hardware Efficient Massive MIMO Systems with Optimal Antenna Selection." Sensors 22, no. 5 (February 23, 2022): 1743. http://dx.doi.org/10.3390/s22051743.

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An increase in the number of transmit antennas (M) poses an equivalent rise in the number of Radio Frequency (RF) chains associated with each antenna element, particularly in digital beamforming. The chain exhibits a substantial amount of power consumption accordingly. Hence, to alleviate such problems, one of the potential solutions is to reduce the number of RFs or to minimize their power consumption. In this paper, low-resolution Digital to Analogue Conversion (DAC) and transmit antenna selection at the downlink are evaluated to favour reducing the total power consumption and achieving energy efficiency in mMIMO with reasonable complexity. Antenna selection and low-resolution DAC techniques are proposed to leverage massive MIMO systems in free space and Close In (CI) path-loss models. The simulation results show that the power consumption decreases with antenna selection and low-resolution DAC. Then, the system achieves more energy efficiency than without low-resolution of DAC and full array utilization.

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Deng, Dan, Chao Li, Lisheng Fan, Xin Liu, and Fasheng Zhou. "Impact of Antenna Selection on Physical-Layer Security of NOMA Networks." Wireless Communications and Mobile Computing 2018 (July 3, 2018): 1–11. http://dx.doi.org/10.1155/2018/2390834.

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This paper studies the impacts of antenna selection algorithms in decode-and-forward (DF) cooperative nonorthogonal multiple access (NOMA) networks, where the secure information from the relay can be overheard by an eavesdropper in the networks. In order to ensure the secure transmission, an optimal antenna selection algorithm is proposed to choose one best relay’s antenna to assist the secure transmission. We study the impact of antenna selection on the system secure communication through deriving the analytical expression of the secrecy outage probability along with the asymptotic expression in the high regime of signal-to-noise ratio (SNR) and main-to-eavesdropper ratio (MER). From the analytical and asymptotic expressions, we find that the system secure performance is highly dependent on the system parameters such as the number of antennas at the relay, SNR, and MER. In particular, the secrecy diversity order of the system is equal to the antenna number, when the interference from the second user is limited.

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ZHANG, Haowei, Junwei XIE, Junpeng SHI, and Zhaojian ZHANG. "Antenna selection in MIMO radar with collocated antennas." JSEE 30, no. 6 (2019): 1119–31. http://dx.doi.org/10.21629/jsee.2019.06.08.

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Ravi Sankar, M., and Dr K. V. Satyanarayana. "Ergodic sum rate of transmitting antenna selection in non-orthogonal multiple access for modern systems." International Journal of Engineering & Technology 7, no. 3.29 (August 24, 2018): 61. http://dx.doi.org/10.14419/ijet.v7i3.29.18462.

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Wireless systems hiring multiple antennas at the transmitter side used for the transmission of the high capacity information through the channels making the system more complex and costlier. To overcome these problems, the multiple antennas at the transmitter side must be reduced and the performance should retained with reduced antennas as earlier. This can be achieved by using the algorithm Transmitting Antenna Selection (TAS) which is carried out by considering the transmission of the information through the channels using the Non-Orthogonal Multiple Access (NOMA). The NOMA algorithm is used to provide the high throughput using the heterogeneous demands in which there is no interference between the transmitted signals from the multiple antennas equipped in a single base station. TAS-NOMA algorithm is proposed in this paper for selecting the best transmitting antenna out of multiple antennas equipped in the base station by using the Ergodic sum rate which is measured at the transmitter side considering the average of the channels capacity.

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Wang, Gang, and Jia Pin Xu. "The Way of Selection Antenna in Distributed Wireless Communication System." Key Engineering Materials 474-476 (April 2011): 1849–54. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1849.

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Distributed Wireless Communication System(DWCS) is a new communication system, which adapts to the future communication. In this system, antenna selection scheme plays a significant role in the communication quality which will influence the communication system performances. In this paper, the antenna selection method of DWCS is presented, and then makes detailed theoretical analysis. By selecting the number of antenna and dynamic formation of virtual cells, and then performance analysis results are in good agreement with simulation results, which verifies the validity of the method. The simulation shows that the antenna selection method of DWCS with dynamic virtual cells is better than the antenna selection method without dynamic virtual cells.

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Hu, Zhaopeng, Ming Dong, Shifeng Li, and Chanzhong Yang. "Simulation-Based Selection of Transmitting Antenna Type for Enhanced Loran System in Selected Location." Applied Sciences 12, no. 12 (June 14, 2022): 6031. http://dx.doi.org/10.3390/app12126031.

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To improve the coverage and timing capability of enhanced Loran signals, three enhanced Loran transmitters are planned to be built in Western China. The most appropriate antenna configuration can be determined by comparing domestic and foreign mainstream small and radio antennas. By analyzing and comparing the electrical and structural parameters and signal propagation curves of the transmitting antenna, it can be concluded that the single tower umbrella antenna provides the best performance in all evaluation indexes, and the enhanced Loran signal can be transmitted to areas 1000 km away through the single tower umbrella antenna so that the enhanced Loran signal covers most areas of Western China. Therefore, it should be widely used in the construction of enhanced Loran transmitters in the future.

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Zhang, Yang, Wei Wang, Xiangmo Zhao, and Jun Hou. "Distributed Antenna-and-Relay Selection Schemes for MIMO Cooperative Relay Network." Wireless Communications and Mobile Computing 2022 (July 13, 2022): 1–12. http://dx.doi.org/10.1155/2022/8729079.

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Relay selection, antenna selection, and link selection are three potent means to enrich network capacity in MIMO relaying networks. To reduce feedback overhead, in this paper, three distributed antenna-and-relay selection schemes are proposed for AF multiple-relay network, which is equipped with multiple antennas at nodes. Closed-form formulations of system outage probability are derived for these schemes, as well as the lower bounds and upper bounds. Furthermore, the approximate expressions of outage probability at high SNR regime are also derived, showing that the proposed optimal strategy can achieve full diversity order. In addition, link selection scheme can improve spectral efficiency since it saves one time slot when direct link is selected.

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Gençoğlan, Duygu Nazan, Mustafa Turan Arslan, Şule Çolak, and Esen Yildirim. "Ultra-Wideband (UWB) characteristic estimation of elliptic patch antenna based on machine learning techniques." Frequenz 74, no. 9-10 (September 25, 2020): 351–58. http://dx.doi.org/10.1515/freq-2019-0210.

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AbstractIn this study, estimation of Ultra-Wideband (UWB) characteristics of microstrip elliptic patch antenna is investigated by means of k-nearest neighborhood algorithm. A total of 16,940 antennas are simulated by changing antenna dimensions and substrate material. Antennas are examined by observing Return Loss and Voltage Standing Wave Ratio (VSWR) characteristics. In the study, classification of antennas in terms of having UWB characteristics results in accuracies higher than 97%. Additionally, Consistency based Feature Selection method is applied to eliminate redundant and irrelevant features. This method yields that substrate material does not affect the UWB characteristics of the antenna. Classification process is repeated for the reduced feature set, reaching to 97.44% accuracy rate. This result is validated by 854 antennas, which are not included in the original antenna set. Antennas are designed for seven different substrate materials keeping all other parameters constant. Computer Simulation Technology Microwave Studio (CST MWS) is used for the design and simulation of the antennas.

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Liang, Tao, Ya Jun Zhang, Guo Bin Yuan, and Li Guo. "Joint Transmit Antenna Selection and Artificial Noise for Security in MIMO Wiretap Channels." Applied Mechanics and Materials 541-542 (March 2014): 1452–57. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.1452.

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In this paper, We propose a effective method which joint transmit antenna selection (TAS) and artificial noise to promote communication security in MIMO wiretap channels. Firstly, based on TAS protocol, the transmitter selects one antenna (the max-antenna) that maximizes the instantaneous signal-noise-ratio (SNR) at the receiver. Secondly, the transmitter uses the max-antenna to transmit valid data, and simultaneously, uses the remaining antennas to transmit artificial noise which only affects the eavesdropper. Thirdly, The receiver and the eavesdropper employ maximal-ratio combining (MRC) to combine the received signals. We focus on the practical scenario where the transmitter does not have any channel state information (CSI) of the eavesdroppers channel. Our joint TAS and artificial noise scheme (TAS-AN) have low complexity, and can enhance the systems security. The numerical simulation results verify our analysis.

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Hendre, Vaibhav S., M. Murugan, and Sneha Kamthe. "Performance Analysis of Transmit Antenna Selection with MRC in MIMO for Image Transmission in Multipath Fading Channels Using Simulink." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 1 (February 1, 2015): 119. http://dx.doi.org/10.11591/ijece.v5i1.pp119-128.

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Multiple antenna configurations can be used to increase the data throughput reducing the effects of multipath fading and interference when channel bandwidth is limited. Orthogonal Space Time Block Codes along with Transmit antenna selection can improve the performance of multiple input multiple output systems. In this paper, we present the Transmit Antenna Selection (TAS) technique based on the Maximal Ratio Combining (MRC) scheme with single antenna selection for image transmission. The performance analysis of the system was carried out under different fading channels i.e. Rayleigh and Rician channel for image input. We design end to end TAS/MRC system in Simulink with advancements in the channel designs and receive diversity techniques along with the feedback models. The Bit Error Rate (BER) analysis was performed for the combinations of number of transmit and receive antennas for TAS/MRC system for various fading environments.

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Zhang, Yan, Zhenghui Li, Fengyu Luan, Limin Xiao, Shidong Zhou, and Jing Wang. "Measurement-Based Analysis of Transmit Antenna Selection for In-Cabin Distributed MIMO System." International Journal of Antennas and Propagation 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/598049.

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Aircraft seems to be the last isolated island where the wireless access is still not available. In this paper, we consider the distributed multiple-input multiple-output (D-MIMO) system application based on measurements in aircraft cabin. The channel response matrices of in-cabin D-MIMO system are collected by using a wideband channel sounder. Channel capacities with optimum transmit antenna selections (TASs) are calculated from the measured data at different receiver positions. Then the optimum capacity results are compared to those without selection in different transmit SNR. It is shown that the TAS can lead obvious capacity gain, especially in the front and back of cabin. The capacity gain represents a decreasing trend with the transmit SNR increasing. The optimal transmit antenna subset is closely related to the transmit SNR. With the SNR increasing, more transmit antennas will be chosen for higher performance. The subset of those transmit antennas near the receiver is a reasonable choice in practical application of D-MIMO system.

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Alafia, Adewale, Simeon Olumide Ajose, and Agbotiname Lucky Imoize. "A STUDY ON LOW-COMPLEXITY TRANSMIT ANTENNA SELECTION FOR GENERALIZED SPATIAL MODULATION." IIUM Engineering Journal 19, no. 2 (December 1, 2018): 105–17. http://dx.doi.org/10.31436/iiumej.v19i2.899.

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ABSTRACT: Generalized spatial modulation (GSM) maps its information to the index of the transmit antenna combination, making simultaneous transmission of multiple symbol possible. However, SM outperform GSM scheme in terms of error performance of the same data rate, due to average power effect. Transmit and receive diversity or the combination of both allow huge improvement in mimo systems in terms of error performance. In this paper, we investigate a near optimal low-complexity Euclidean distance antenna selection (LC-EDAS) technique in GSM system, to further improve the performance of the conventional GSM system. The LC-EDAS technique independently search across signal and spatial dimension to eliminate the worse channel prior to transmission. Secondly, we investigate a sub-optimal low-complexity transmit antenna selection (LCTAS) in the GSM system to further reduce the computational complexity (CC) imposed by LC-EDAS. The Monte Carlo simulation results obtained reveals a trade-off between the GSM scheme with LC-EDAS and GSM scheme with sub-optimal transmit antenna selection in terms of error performance and CC. ABSTRAK: Modulasi Spatial Keseluruhan (GSM) menghubung informasi kepada indeks kombinasi antena yang dipancarkan, membuatkan pemancaran keseluruhan simbol dapat dilakukan. Walau bagaimanapun, SM lebih bagus daripada skim GSM pada prestasi kesilapan pada kadar data yang sama, kerana kesan purata kuasa. Kepelbagaian penghantaran dan penerimaan ataupun kombinasi keduanya memberi pembaharuan yang lebih besar dalam sistem mimo pada prestasi kesalahan. Penyelidikan ini akan mengkaji optima terdekat Euclidean kurang rumit, melalui teknik (LC-EDAS) pilihan jarak antenna dalam sistem GSM, bagi menambah prestasi sistem GSM sedia ada. Teknik LC-EDAS secara sendiri mencari signal dan dimensi separa bagi mengurangkan saluran lebih teruk semasa penghantaran. Kedua, kami mengkaji sub-optima proses pemilihan kurang rumit penyebaran antena (LCTAS) dalam sistem GSM bagi mengurangkan kerumitan pengiraan (CC) yang dikenakan oleh LC-EDAS. Keputusan simulasi Monte Carlo yang diperoleh menunjukkan timbangan antara skim GSM dan LC-EDAS dan skim GSM bersama sub-optima proses pemilihan penyebaran antena berdasarkan kesilapan prestasi dan CC.

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Dong, Yanjie, Yinghai Zhang, Weidong Wang, Gaofeng Cui, and Yang Yu. "Energy Efficiency Maximization through Cooperative Transmit and Receive Antenna Selection for Multicell MU-MIMO System." International Journal of Antennas and Propagation 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/589591.

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The capacity of Multiple Input Multiple Output (MIMO) system is highly related to the number of active antennas. But as the active antenna number increases, the MIMO system will consume more energy. To maximize the energy efficiency of MIMO system, we propose an antenna selection scheme which can maximize the energy efficiency of BS cluster. In the scheme, ergodic energy efficiency is derived according to large scale channel state information (CSI). Based on this ergodic energy efficiency, we introduce a cost function varied with the number of antennas, in which the effect to the energy efficiency of both the serving BS and the neighbor BS is considered. With this function, we can transform the whole system optimization problem to a sectional optimization problem and obtain a suboptimal antenna set using a heuristic algorithm. Simulation results verify that the proposed approach performs better than the comparison schemes in terms of network energy efficiency and achieves 98% network energy efficiency of the centralized antenna selection scheme. Besides, since the proposed scheme does not need the complete CSI of the neighbor BS, it can effectively reduce the signaling overhead.

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Khaled, Adel, Sally Hassaneen, Salah ElAgooz, and Heba Soliman. "Interference mitigation using antenna selection for the heterogeneous networks." Bulletin of Electrical Engineering and Informatics 10, no. 2 (April 1, 2021): 801–10. http://dx.doi.org/10.11591/eei.v10i2.2240.

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A rapid increase in the wireless internet-based applications led to an enormous increase in wireless data rates. Intensification of future wireless networks faces a great challenge to meet such growing demand for payload data. A suggested solution that can be used to resolve this issue is to overlay small cell networks with macro cell networks to provide higher network capacity and better coverage. Small cell networks experience large interference from macro cell base stations (BSs) making data rates received by the small cell users not reliably. In this paper, an antenna selection scheme based on small cell user’s (SCU) channel gain is proposed. Whereas, the two tiers use the same network bandwidth resources; the macro BS selects a subset of antennas which has a minimum interfering effect to the SCU based on a pilot sent from SCU to macro cell. The proposed selection scheme has been compared with convex optimization antenna selection scheme. Simulation results show that the SCU data rates are significantly improved using proposed scheme. Execution time required for antenna selection is reduced significantly using the proposed scheme.

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Bai, Dongwoon, Saeed S. Ghassemzadeh, Robert R. Miller, and Vahid Tarokh. "Beam Selection Gain Versus Antenna Selection Gain." IEEE Transactions on Information Theory 57, no. 10 (October 2011): 6603–18. http://dx.doi.org/10.1109/tit.2011.2165814.

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Vargas, Isabel Menacho, Carlos Luy-Montejo, Lourdes Ivonne del Carmen Alcaide-Aranda, Doris Isabel Goicochea Parks, Yoni Magali Maita Cruz, Jessica Paola Palacios-Garay, and Aracelli del Carmen Gonzales-Sánchez. "Improved Butterfly Optimization Algorithm for Energy Efficient Antenna Selection Over Wireless Cellular Networks." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 14, no. 2 (June 30, 2023): 121–36. http://dx.doi.org/10.58346/jowua.2023.i2.010.

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The emergence of a new trajectory in wireless networks can be attributed to the assessment of mobile devices and applications in the present decade. A recently developed approach that combines energy harvesting with large-scale multiple antenna technology has emerged as a promising means of enhancing energy efficiency through the utilization of renewable energy sources and the reduction of transmission power per user and per antenna. Multiple Input Multiple Output (MIMO) refers to systems with more than one antenna element in both the transmitting and receiving sections. In the existing system, energy efficiency and optimal antenna selection is not achieved in MIMO system. Hence, in this work, Improved Butterfly Optimization (IBFO) algorithm-based antenna selection is proposed. Using adaptive hybrid analog-digital beamforming, this research evaluates a fifth-generation (5G) MIMO millimeter wave (mmWave) wireless cellular beamforming system. In order to achieve the highest possible level of energy efficiency, finding the best transmit power, number of active antennas, and antenna subsets at both transmitter and receiver is the main focus. In order to maintain a higher data rate for wireless access, it is also employed to provide excellent Quality of Service (QoS). The optimization method uses sub-channel allocation, MIMO systems, and bandwidth allocation to offer the desired data rate for applications in real time. The proposed IBFO model improves wireless power allocation schemes by using the best fitness value and optimal antenna elements to lower Bit Error Rate (BER), energy consumption, sum rate, throughput, and spectral efficiency.

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Liu, Zhan, and Suili Feng. "Antenna Selection for Full-Duplex Distributed Antenna Systems." IEEE Access 7 (2019): 132516–24. http://dx.doi.org/10.1109/access.2019.2941797.

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Tseng, Hsien Wei, Yang Han Lee, Yung Wen Lee, Chih Yuan Lo, Yih Guang Jan, and Ming Hsueh Chuang. "Design and Implement of Multi-Antennas for High Data Rate Communication." Applied Mechanics and Materials 284-287 (January 2013): 2622–26. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2622.

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In this paper, it tries from experimental measurements to derive the required minimum antenna isolation and from using this minimum antenna isolation to have the MIMO to execute at its utmost efficiency. The issue of the minimum antenna isolation is actually the problem of pursuing the possible antenna module area of a multi-antenna system. As smaller size communication system is explored in real life the request of small size communication system has been discussed and many systems have been developed. To verify the feasibility of designing a multi-antenna and high throughput system is through the adopt of many MIMO technique implemented IEEE 802.11n 2x2 products to verify whether its throughput can be doubled. In this paper we integrate 4 2x2 AP antenna sets and under the operation of 8 antennas to attain the 1200 Mbps PHY rate through proper selection and design of available antennas, for 1200 Mbps PHY rate it is equivalently to have more then 600 Mbps throughput and with this implementation it is enable to prove the feasibility of the designed system.

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Nicolas, Aurore, Julie Pourtois, Pol Karier, István Markó, and Thierry Hance. "Sexual dimorphism and sex pheromone detection in Aphidoletes aphidimyza." Animal Biology 70, no. 1 (2020): 13–25. http://dx.doi.org/10.1163/15707563-20191022.

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Abstract Sexual dimorphism, particularly at the level of sensory and locomotor organs, is usually attributed to sexual selection. Antennae are notably developed in males of species that need to detect a sex pheromone at low concentration or at long distance. In addition to their role in intrasexual selection, antennae can be seen as important ornaments in intersexual selection. Antennae of Aphidoletes aphidimyza are clearly sexually dimorphic (males have longer antennae than females, with highly developed sensilla) while females emit a sex pheromone for mating. Males with longer and more symmetrical antennae than others could be more successful in reaching the source of sex pheromone, especially if they can fly properly. A morphometric study was first conducted, to apprehend the variability of antennae, wings and tibias in lab conditions. The length of the antennae of male A. aphidimyza is impressive and the right antenna is longer than the left antenna. Secondly, choice experiments were conducted in a Y-shaped olfactometer with males of A. aphidimyza facing the sex pheromone. The relationship between choice patterns and morphology of males was then studied, but no link was found between the morphology of males and their behaviour while exposed to the sex pheromone, although males were indeed attracted by the olfactometer arm containing the sex pheromone.

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Wang, Yong, and Hui Li. "A Novel Convex Optimization for Receive Antenna Selection." Advanced Materials Research 186 (January 2011): 611–15. http://dx.doi.org/10.4028/www.scientific.net/amr.186.611.

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This paper proposes a new receive antenna selection algorithm based on the theory of convex optimization that improve the system performance over Rayleigh fading multiple-input multiple-output (MIMO) channels. The algorithm is based on approximated relaxed original optimization problem. The main effort in the approximated relaxed method is computing the Newton step for the centering problem, which consists of solving sets of linear equations constraints. The method produces not only a suboptimal choice of receive antennas, but also, a bound on how well the globally optimal choice does. The Monte-Carlo simulations show that the algorithm proposed can provide the performance very close to that of the optimal selection based on exhaustive search.

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Sanchez-Montero, Lopez-Espi, Alen-Cordero, and Martinez-Rojas. "Bend and Moisture Effects on the Performance of a U-Shaped Slotted Wearable Antenna for Off-Body Communications in an Industrial Scientific Medical (ISM) 2.4 GHz Band." Sensors 19, no. 8 (April 15, 2019): 1804. http://dx.doi.org/10.3390/s19081804.

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In recent years, the study and design of wearable antennas have been empowered given the success of Wireless Body Area Networks (WBAN) for healthcare and medical purposes. This work analyses a flexible textile antenna whose performance can be optimised by the careful selection of the substrate thickness of the textile material, and by varying the antenna’s geometrical shape. After considering these parameters, several arrangements of antennas were simulated using the Computer Simulation Technology software (CST). The results of the simulations were compared to the experimental prototypes manufactured on a flexible felt material for a range of thicknesses and curvatures of the antenna substrate. Such antenna designs can be utilised in off-body communications and ISM applications.

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Gao, Yuan, Han Vinck, and Thomas Kaiser. "Massive MIMO Antenna Selection: Switching Architectures, Capacity Bounds, and Optimal Antenna Selection Algorithms." IEEE Transactions on Signal Processing 66, no. 5 (March 1, 2018): 1346–60. http://dx.doi.org/10.1109/tsp.2017.2786220.

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El-Mahdy, Ahmed El-Sayed, and Alia Wassef. "Multiple Antenna Selection of Multi-Antenna Relays Using Threshold-Generalized Selection Combining Scheme." Journal of Computational Intelligence and Electronic Systems 3, no. 4 (December 1, 2014): 239–43. http://dx.doi.org/10.1166/jcies.2014.1107.

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Trinh, Le-Huy, and Fabien Ferrero. "Multiband Frequency Tuneable Antennas for Selection Combining Strategy in White Space Applications." Applied Sciences 12, no. 21 (November 1, 2022): 11062. http://dx.doi.org/10.3390/app122111062.

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This article presents a reconfigurable antenna using digitally tuneable capacitors (DTCs). Mounted on a 120 × 200 mm2 ground plane, the radiating element has very compact dimensions of 0.06λg × 0.016λg × 0.0016λg (with λg being the wavelength at 585 MHz). The proposed structure could be operated in the white-space frequency band from 470 to 700 MHz. The antenna system is composed of two radiated elements that are placed at the corner of the board. The active components were soldered onto the antennas and controlled by an embedded microcontroller via the I2C interface. Antenna impedances were simulated and evaluated by measurement with an impedance-matching bandwidth of 39.32% (470–700 MHz) for an S11 less than −6 dB. Furthermore, the numerical results show a realized maximal gain ranging from −2.2 dBi at 470 MHz to 1.87 dBi at 700 MHz. Lastly, the diversity gains based on the radiation pattern of two resonators were calculated. The results show envelope correlation coefficient (ECC) values lower than 0.5 for the different configurations.

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Ding, Jian Jun, and Jing Jiang. "Energy-Efficient Hybrid Precoding Scheme Based on Antenna Selection Technology in Massive Multiple-Input Multiple-Output Systems." International Journal of Antennas and Propagation 2019 (May 2, 2019): 1–12. http://dx.doi.org/10.1155/2019/4196513.

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Hybrid precoding is a promising technology for massive multiple-input multiple-output (MIMO) systems. It can reduce the number of radio frequency (RF) chains. However, the power consumption is still very high owing to the large-scale antenna array. In this paper, we propose an energy-efficient precoding scheme based on antenna selection technology. The precoding scheme greatly increases the energy efficiency (EE) of the system. In the first step, we derive an exact closed-form expression of EE. Meanwhile, we further study the relationship between the number of transmit antennas and EE on the basis of the exact closed-form expression of EE. We prove that there exists an optimal value. When the number of transmit antennas equals to the value, the EE of the system can reach the maximum by a proper hybrid precoding scheme. Then, we propose an antenna selection algorithm to select antennas from the transmit antennas. And the number of selected antennas equals to the optimal value. Subsequently, we design the analog precoder based on a codebook to maximize the equivalent channel gain. At last, we further improve the EE by baseband digital precoding. The precoding algorithm we proposed offers a compromise between spectral efficiency (SE) and EE in millimeter wave (mmWave) massive MIMO systems. Finally, simulation results validate our theoretical analysis and show that a substantial EE gain can be obtained over the precoding scheme we proposed without large performance loss.

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Khattak, Muhammad Kamran, Changhyeong Lee, Heejun Park, and Sungtek Kahng. "RF Channel-Selectivity Sensing by a Small Antenna of Metamaterial Channel Filters for 5G Sub-6-GHz Bands." Sensors 20, no. 7 (April 2, 2020): 1989. http://dx.doi.org/10.3390/s20071989.

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In this paper, a new small antenna is suggested for 5G Sub-6-GHz band mobile communication. It can change the channel among the three given bands (called the 3.5-GHz area), as a wide-band antenna is connected to a small multiplexer comprising three metamaterial channel filters. The function of channel selection of this antenna system is experimentally demonstrated to prove the validity of the presented scheme. The channel selection for 5G mobile communication is conducted from f1 (channel 1) through f2 (channel 2) to f3 (channel 3), when TX and RX antennas with gains over 0 dBi and S11 less than −10 dB are located far-field apart (RFar ≫ 2.1 cm), and result in the transmission coefficient (S21) being the greatest at the selected channel, which is detected by a vector network analyzer.

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Kim, Sangchoon. "Efficient Transmit Antenna Subset Selection for Multiuser Space–Time Line Code Systems." Sensors 21, no. 8 (April 11, 2021): 2690. http://dx.doi.org/10.3390/s21082690.

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We consider the problem of the efficient transmit antenna subset (TAS) selection for maximizing the signal-to-interference-plus-noise ratio (SINR) of multiuser space–time line code (MU–STLC) systems. The exhaustive search for optimal TAS selection is impractical since the total number of transmit antennas increases. We propose two efficient TAS selection schemes based on the Woodbury formula. The first is to incrementally select NS active transmit antennas among the available NT transmit antennas. To reduce the complexity of the incremental selection scheme, the Woodbury formula is employed in the optimization process. The second is to perform the decremental strategy in which the Woodbury formula is also applied to develop the low-complexity TAS selection procedure for the MU–STLC systems. Simulation results show that the proposed incremental and decremental TAS selection algorithms offer better alternatives than the existing greedy TAS selection algorithm for the MU–STLC systems. Furthermore, in terms of bit error rate, the proposed minimum mean square error decremental TAS selection algorithm turns out to outperform the existing greedy algorithm with significantly lower computational complexity. Finally, we analyze the detection SINR penalty experienced from TAS selection and the analytical quantity is shown to be well matched with simulation results.

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Singal, Anuj, and Deepak Kedia. "Performance Analysis of Antenna Selection Techniques in MIMO-OFDM System with Hardware Impairments: Energy Efficiency perspective." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 4 (August 1, 2018): 2272. http://dx.doi.org/10.11591/ijece.v8i4.pp2272-2279.

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In this paper we propose a new MIMO-OFDM model in which we consider various antenna selection techniques like Bulk selection and Per-subcarrier selection etc. with hardware impairments such as non-linearties of amplifiers, quantization noise, phase noise and I-Q imbalance etc. As we know that the transceiver hardware impairments limit the channel capacity and the energy efficiency of MIMO-OFDM system, so we can not neglect the fundamental impacts of these hardware impairments {Kappa (0.05 0.1)} on the energy efficiency in the high SNR domain. Therefore we analyze the Energy Efficiency of Bulk and Per-subcarrier antenna selection techniques with or without hardware impairments. It has been observed that the energy efficiency decreases as the value of these hardware impairments increases. As we compared the Bulk antenna selection with the Per-subcarrier antenna selection scheme, the Per-subcarrier antenna selection requires more number of RF (radio frequency) chains and transmits power in comparison to the Bulk selection. Due to this, the Bulk antenna selection technique is more energy efficient than Per-subcarrier antenna selection.

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T. G., Shivapanchakshari, and H. S. Aravinda. "PSO-CCO_MIMO-SA: A particle swarm optimization based channel capacity optimzation for MIMO system incorporated with smart antenna." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (December 1, 2020): 6276. http://dx.doi.org/10.11591/ijece.v10i6.pp6276-6282.

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With the radio channels physical limits, achieving higher data rate in the multi-channel systems is been a biggest concern. Hence, various spatial domain techniques have been introduced by incorporating array of antenna elements (i.e., smart antenna) in recent past for the channel limit expansion in mobile communication antennas. These smart antennas help to yield the improved array gain or bearm forming gain and hence by power efficiency enhanmaent in the channel and antenna range expansion. The use of smart antenna leads to spatial diversity and minimizes the fading effect and improves link reliability. However, in the process of antenna design, the proper channel modelling is is biggest concern which affect the wireless system performance. The recent works of MIMO design systems have discussed the issues in number of antenna selection which suggests that optimization of MIMO channel capacity is required. Hence, a Particle Swarm Optimization based channel capacity optimzation for MIMO system incorporated with smart antenna is introduced in this paper. From the outcomes it is been found that the proposed PSO based MIMO system achieves better convergenece speed which results in better channel capacity.

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Wang, Qi, Renjing Gao, Shutian Liu, and Chuan Liu. "Topology optimization-based design method of dual-band antennas." Multidiscipline Modeling in Materials and Structures 13, no. 1 (June 12, 2017): 11–25. http://dx.doi.org/10.1108/mmms-07-2016-0030.

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Purpose Recent development of wireless communication devices dictates that miniaturization, multi-functions and high integration are the important factors for antenna structures. This has resulted in the requirement of antennas with dual or multi-frequency operations. Although the dual-band antennas can be achieved through the experience-based configuration selection with the parameter adjustment, it is still a challenging problem to design an antenna with specific dual-frequency operations effectively. The purpose of the paper is to develop an effective design method to guide the design of antennas with specific dual-frequency operations. Design/methodology/approach The topology optimization is carried out through the material distribution approach, where the patch of the antenna is taken as the design domain. The optimization formulation is established with maximizing the minimum antenna efficiency at the target frequencies. The sensitivity of the antenna efficiency with the design variables is derived, and the optimization problem is solved by a gradient-based algorithm. Findings Based on the proposed design method, an example of a patch antenna design for specific dual-frequency operations is presented. The performance of the designed antenna is cross-verified by experimentation, where the reflection coefficients (S11) obtained by simulation and experiment show a good agreement. The simulation and the experimentation of the designed antenna show that two operational bands are optimized to occur around the target frequencies, which confirms the effectiveness of the proposed design method. Originality/value This paper presents a topology optimization-based design method for patch antennas operating at dual specific frequencies.

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Lee, Byung-Jin, Sang-Lim Ju, Nam-il Kim, and Kyung-Seok Kim. "Enhanced Transmit-Antenna Selection Schemes for Multiuser Massive MIMO Systems." Wireless Communications and Mobile Computing 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/3463950.

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Massive multiple-input multiple-output (MIMO) systems are a core technology designed to achieve the performance objectives defined for 5G wireless communications. They achieve high spectral efficiency, reliability, and diversity gain. However, the many radio frequency chains required in base stations equipped with a high number of transmit antennas imply high hardware costs and computational complexity. Therefore, in this paper, we investigate the use of a transmit-antenna selection scheme, with which the number of required radio frequency chains in the base station can be reduced. This paper proposes two efficient transmit-antenna selection (TAS) schemes designed to consider a trade-off between performance and computational complexity in massive MIMO systems. The spectral efficiency and computational complexity of the proposed schemes are analyzed and compared with existing TAS schemes, showing that the proposed algorithms increase the TAS performance and can be used in practical systems. Additionally, the obtained results enable a better understanding of how TAS affects massive MIMO systems.

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Journal articles on the topic 'Antenna Selection'

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