Journal articles: 'MIMO COMMUNICATION SYSTEM'

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Kai, Tao, Sun Xiaoyun, Wang Yang, and Jingchun Li. "System Modeling and Precoding Design for Multi-beam Dual-polarized Satellite MIMO System." Recent Patents on Engineering 13, no. 4 (December 27, 2019): 374–81. http://dx.doi.org/10.2174/1872212112666181015150356.

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Background: As the multimedia service develops and the transmission rate in terrestrial communication systems increases rapidly, satellite communication needs to improve the transmission rate and throughput. Multiple Input Multiple Output (MIMO) techniques can increase the system capacity significantly by introducing the space dimension, as the system bandwidth remains the same. Therefore, utilization of MIMO for satellite communications to increase the capacity is an important research topic. So MIMO techniques for multibeam satellite communications are researched in the dissertation. Objective: The goal of this work is improving the capacity of the satellite system. Multi-beam and dual-polarized technologies are applied to a satellite system to improve the capacity further. Methods: In this paper, we first introduce a multi-beam dual-polarized satellite multi-put and multiout (MBDP-S-MIMO) system which combines the full frequency multiplexing and dual-polarization technologies. Then the system model and channel model are first constructed. At last, to improve the capacity further, BD and BD-ZF precoding algorithms are applied to MBDP-S-MIMO and their performance is verified by simulation. Results: Simulation results show the performance of the BD precoding algorithm gets better with the growth of the XPD at the receiver and is almost not affected by the growth of the channel polarization correlation coefficient. In addition, with the growth of the users’ speed, the performance becomes worse. Conclusion: The multi-beam dual-polarized satellite MIMO system has high capacity, and it has certain application prospects for satellite communication.

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Nguyen, Hoang, Johnson I. Agbinya, and John Devlin. "Channel Characterisation and Link Budget of MIMO Configuration in Near Field Magnetic Communication." International Journal of Electronics and Telecommunications 59, no. 3 (September 1, 2013): 255–62. http://dx.doi.org/10.2478/eletel-2013-0030.

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Abstract Traditional radio communication has gained significantly from using multiple input and multiple output (MIMO) architecture in the system. Many wireless applications, such as wireless LAN and cellular network, have adopted this technology to improve their system performance. However, the effect of MIMO systems has not been investigated in the case of inductive near field short range communications. The purpose of this paper is to explore a new method for increasing the magnetic communication range using MIMO. Three system models includingMISO, SIMO and MIMO are proposed to characterize the number of transmitters and receivers to the link. These models have helped to extend not only the range but also the communication channel in NFMIC.

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Dr.Raad.H., Thaher. "Environmental Analysis of MIMO Channel Capacity Under Variable." مجلة جامعة الملكة أروى العلمية المحكمة 1, no. 7 (December 30, 2011): 24. http://dx.doi.org/10.58963/qausrj.v1i7.45.

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Digital communication using MIMO has been one of the most promising research areas in wireless communictions nowadays as it offers a lot of promises for future wireless communications .MIMO seems to be the only technology that is advancing the wireless industry from 3Gto 4G systems .I n this work MIMO system has been studied in great detail and simulated for different cases and it was concentrated on the performance of its capacity under several environmental conditions . MIMO system offer significant gains in performance over traditional wireless communication systems . Spatial multiplexing increases system throughput without consuming frquency spectrum and spatial diversity make the link more robust .MIMO system was described was described and simulation results were presented and discussed. Multiple antenna techniques are a key to boosting the performance of modern wireless systems.Key words: MIMO, spatial multiplexing, capacity, diversity,SNR

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Jit Singh, Mandeep Singh, Wan Syahrum Wan Saleh, Amer T. Abed, and Muhammad Ashraf Fauzi. "A Review on Massive MIMO Antennas for 5G Communication Systems on Challenges and Limitations." Jurnal Kejuruteraan 35, no. 1 (January 30, 2023): 95–103. http://dx.doi.org/10.17576/jkukm-2023-35(1)-09.

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High data rate transfers, high-definition streaming, high-speed internet, and the expanding of the infrastructure such as the ultra-broadband communication systems in wireless communication have become a demand to be considered in improving quality of service and increase the capacity supporting gigabytes bitrate. Massive Multiple-Input Multiple-Output (MIMO) systems technology is evolving from MIMO systems and becoming a high demand for fifth-generation (5G) communication systems and keep expanding further. In the near future, massive MIMO systems could be the main wireless systems of communications technology and can be considered as a key technology to the system in daily lives. The arrangement of the huge number of antenna elements at the base station (BS) for uplink and downlink to support the MIMO systems in increasing its capacity is called a Massive MIMO system, which refers to the vast provisioning of antenna elements at base stations over the number of the single antenna of user equipment. Massive MIMO depends on spatial multiplexing and diversity gain in serving users with simple processing signal of uplink and downlink at the BS. There are challenges in massive MIMO system even though it contains numerous number of antennas, such as channel estimation need to be accurate, precoding at the BS, and signal detection which is related to the first two items. On the other hand, in supporting wideband cellular communication systems and enabling low latency communications and multi-gigabit data rates, the Millimeter-wave (mmWave) technology has been utilized. Also, it is widely influenced the potential of the fifth-generation (5G) New Radio (NR) standard. This study was specifically review and compare on a few designs and methodologies on massive MIMO antenna communication systems. There are three limitations of those antennas were identified to be used for future improvement and to be proposed in designing the massive MIMO antenna systems. A few suggestions to improve the weaknesses and to overcome the challenges have been proposed for future considerations.

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BAKULIN, M. G., V. B. KREYNDELIN, and M. L. KHAZOV. "NEW QUASI-OPTIMAL ALGORITHMS OF ANTENNA SELECTION WITH LOW COMPLEXITY." T-Comm 17, no. 7 (2023): 47–56. http://dx.doi.org/10.36724/2072-8735-2023-17-7-47-56.

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Classical MIMO system model without antenna selection and MIMO system model with antenna selection are presented. New quasi-optimal low complexity algorithms of antenna selection are proposed for MIMO communication systems. These algorithms allow to achieve high spectral efficiency without significant increase of complexity. The statistical modeling method is used to evaluate the efficiency of the proposed algorithms and to compare their characteristics with the characteristics of the known algorithms of full and partial combined selection. The computational complexity of the proposed algorithms is evaluated and been compared with the computational complexity of the well-known algorithms of full and partial combined selection in low-order and high-order MIMO system configurations. The possibility of practical application of new quasi-optimal algorithms in real communication systems is clearly demonstrated by comparative analysis of error-rate performance in conjunction with an assessment of computational complexity. These applications provide significantly improving of the energy performance of MIMO communication systems and it allows to improve quality characteristics of communications for subscribers or could be exchanged to the lower price of construction and maintenance of real communication systems.

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Agrawal, Anurag Vijay, and Meenakshi Rawat. "Reliable Integrated Satellite Terrestrial Communications using MIMO for Mitigation of Microwave Absorption by Earths Oxygen." Defence Science Journal 69, no. 5 (September 17, 2019): 458–63. http://dx.doi.org/10.14429/dsj.69.14951.

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Microwaves are used to communicate with satellite and terrestrial communication networks. But as microwaves pass through the Earth’s atmosphere, the oxygen gas absorbs microwave. In this 5G era, when the whole world is moving towards high data-rates and reliable communications, this absorption affects the data transmission in Integrated Satellite/Terrestrial Communication (ISTC) systems, which leads to degradation of the system performance. The multiple-input-multiple-output (MIMO) technology has become a boon for modern wireless communication systems to achieve the necessities of higher data-rates and communication reliability. The paper analyses the MIMO effect on block error rate (BLER), error vector magnitude (EVM) and throughput performance of the data transmission with different MIMO configurations. The paper establishes that better data-rates as well as reliable data communication is achieved with higher order MIMO configurations. MIMO 8×1 provides 5, 20 and 42.5 times improved performance to BLER; 5.26%, 25% and 81.82% in throughput; and 10.34%, 23.07% and 28% in EVM calculations as comparable to MIMO 4×1, MIMO 2×1 and SISO 1×1, respectively at 15 dB signal-to-noise ratio (SNR). The authors also give a new concept of multi-cellular layers based mobile communication network, useful for future smart cities.

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P., Karrupusamy. "MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM." December 2019 2019, no. 02 (December 29, 2019): 107–16. http://dx.doi.org/10.36548/jei.2019.2.006.

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As the telecommunication services totally relies on the optical fiber for extending communications, it necessary that the optical communication system be capable of handling high speed, multiple channels and long haul signal transmission. recently the emergence of the optical coherent 100 GB/s and the digital signal processing has made possible the perfect signal transmission even for the MIMO (multiple input multiple output system) as they are well reformed to permit multiple wireless signal that holds different carrier frequencies. So the optical fiber system has become prominent among the applications like, large universities, banks and other private networks. However the speed in the transmission of the multiple wireless signals through single cable experiences performance issues in terms of speed, so the proposed method utilizes the 60 GHz, radio over fiber MIMO with effective spectrum allocation and the return zero differential phase shift keying to improve the communication speed and suppress the crosstalk respectively. The proposed system enriches the seamless communication with the QPSK-OFDM MIMO channels achieving 85 % in the data transmission rate, reducing the error correction rate to 5%.

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Kumari, Prabha. "A Survey on Spatial Modulation and MIMO System for Emerging Wireless Communication." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3059–62. http://dx.doi.org/10.22214/ijraset.2021.35590.

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In this paper we have studied about Spatial Modulation (SM) in MIMO system. Spatial modulation is a unique and newly proposed technique. Spatial modulation is a multiple input multiple output technique which provides higher throughput and gain as compared to Quadrature Amplitude Modulation. Spatial modulation is a technique which enhances the performance of MIMO system. Spatial modulation and MIMO technique are used to attracted research for its high energy and spectral efficiency because it is working on single RF chain. This paper has considered the advantages of spatial modulation and MIMO systems, using different technique to improve the bandwidth efficiency. Some of such MIMO systems applications are discussed wherein become a requirement for an emerging wireless communication system.

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Wang, Yi, Shan Zhen, Xing Zhe Hou, Hong Liang Sun, Kai Bo Luo, and Tan Jie Zhou. "Virtual-MIMO Cooperation Communication Based on Integrated Power Line and Wireless Communication System." Advanced Materials Research 986-987 (July 2014): 2086–90. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.2086.

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Power line communication (PLC) is a competitive technology in broad band access services and smart grids considering it widely distribution and low infrastructure built cost. This paper proposes a new PLC virtual MIMO cooperation system merged with the wireless communication to improve the reliability and capacity performance of conventional PLC system. A wireless interface is integrated in the conventional PLC modems. The nearby PLC modems constitute a V-MIMO module to share their transmitting information via the wireless link. The PLC modem in different V-MIMO module can communicate with each other through power line. The outage probability and capacity simulation results prove that new system can significantly increase the PLC system throughput and the link reliability.

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Muoghalu, C. N., P. N. Achebe, and F. A. Aigbodioh. "MIMO-OFDM Techniques for Wireless Communication System: Performance Evaluation Review." International Journal of Advanced Networking and Applications 14, no. 04 (2023): 5572–81. http://dx.doi.org/10.35444/ijana.2023.14410.

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The use of multiple antennas in wireless communication systems has resulted in multiple channels that facilitate the speed of data transfer and improved channel capacity. This technique that basically involves multiple input and multiple output (MIMO) antennas helps to improve system performance by reducing bit error rate (BER) while increasing signal to noise ratio (SNR). Also, the use of orthogonal frequency division multiplexing (OFDM) has helped in mitigating inter-symbol interference (ISI). A combination of MIMO and OFDM produces the MIMO-OFDM scheme. This paper reviewed the performance of BER in MIMO-OFDM system considering various digital modulation techniques. An empirical review of previous studies on MIMO-OFDM system regarding BER performance evaluation was carried out. The study demonstrated the performance of digital modulation schemes in OFDM system with respect the Quadrature Amplitude Modulation (QAM). The results of the simulation based on MATLAB code revealed that lower order modulation yielded better BER performance than higher order. Furthermore,MIMO-OFDM system was modeled in MATLAB/Simulink and simulated to show that the use of multiple antennas at the transmitter and receiver helps in improving the performance of wireless communication system by reducing BER while increasing SNRconsidering two multipath channels – Rayleigh and Rician.

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Bhatt, Maharshi K., Bhavin S. Sedani, and Komal Borisagar. "Performance analysis of massive multiple input multiple output for high speed railway." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 5180. http://dx.doi.org/10.11591/ijece.v11i6.pp5180-5188.

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This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.

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YOUSSEF, M., A. EMAM, and M. ABD ELGHANY. "MIMO Communication System Optimization Using RNS." International Conference on Electrical Engineering 11, no. 11 (April 1, 2018): 1–13. http://dx.doi.org/10.21608/iceeng.2018.30180.

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Dohler, M., A. Gkelias, and H. Aghvami. "2-hop distributed MIMO communication system." Electronics Letters 39, no. 18 (2003): 1350. http://dx.doi.org/10.1049/el:20030814.

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Divya, Mrs. "Mimo Communication System At A Glance." IOSR Journal of Electronics and Communication Engineering 1, no. 1 (2012): 12–17. http://dx.doi.org/10.9790/2834-0111217.

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Divya, Mrs. "Mimo Communication System At A Glance." IOSR Journal of Electronics and Communication Engineering 1, no. 3 (2012): 12–17. http://dx.doi.org/10.9790/2834-0131217.

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Naeem, Muddasar, Giuseppe De Pietro, and Antonio Coronato. "Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems." Sensors 22, no. 1 (December 31, 2021): 309. http://dx.doi.org/10.3390/s22010309.

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The current wireless communication infrastructure has to face exponential development in mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems and their variants (i.e., Multi-User MIMO and Massive MIMO) are the most promising 5G wireless communication systems technology due to their high system throughput and data rate. However, the most significant challenges in MIMO communication are substantial problems in exploiting the multiple-antenna and computational complexity. The recent success of RL and DL introduces novel and powerful tools that mitigate issues in MIMO communication systems. This article focuses on RL and DL techniques for MIMO systems by presenting a comprehensive review on the integration between the two areas. We first briefly provide the necessary background to RL, DL, and MIMO. Second, potential RL and DL applications for different MIMO issues, such as detection, classification, and compression; channel estimation; positioning, sensing, and localization; CSI acquisition and feedback, security, and robustness; mmWave communication and resource allocation, are presented.

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Song, Wentao. "MIMO Antenna Array in 5G Communication." Highlights in Science, Engineering and Technology 27 (December 27, 2022): 600–612. http://dx.doi.org/10.54097/hset.v27i.3823.

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The main topics of this study are the fundamental operation of a MIMO antenna array and the benefits of using MIMO technology for 5G communication. Three significant works are recognized as benchmarks by outlining the component sets and spatial reuse that designers should consider in MIMO antenna design. For 5G low and medium frequencies, these include an 8x8 large-scale MIMO antenna array and a circular binary MIMO antenna array. In these designs, the design of the MIMO antenna array will be carried out based on the introduction of the design and parameter selection of the antenna array elements as a priority. Additionally, this study conducts a performance analysis of a multi-cell, Massive MIMO antenna array system, which serves as a high reference point for the Analysis of this system. Numerous possible application domains exist for the study object of this work, including hotspot situations and 3D coverage scenarios. Campus, shopping malls, and halls are examples of hotspot environments.

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Minggan Ye, Minggan Ye, Wei Hu Minggan Ye, Yifeng Zhao Wei Hu, Lianfen Huang Yifeng Zhao, and Zhiyuan Shi Lianfen Huang. "Beamforming Design for OFDM Joint Sensing and Communication System." 網際網路技術學刊 23, no. 7 (December 2022): 1449–59. http://dx.doi.org/10.53106/160792642022122307001.

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<p>In this paper, we discussed the beamforming schemes for OFDM-based joint sensing and communication (OFDM-JSC) system, which enable JSC system to use directional beams to detect directions of interest, while communicating with one or more downlink users, thus further enhancing the practicability of JSC system. Specifically, we equip OFDM-JSC transmitter with hybrid beamforming structure and digital beamforming structure in SU-MIMO and MU-MISO scenarios, respectively. For SU-MIMO JSC, we separately considered the hybrid beamforming design with partially connected structure and fully connected structure. For MU-MISO JSC, we separately consider the beamforming design with total antenna array transmit power constraint, and per antenna transmit power constraint. For the four non-convex problems in above two scenarios, we have designed corresponding low-complexity JSC beamforming algorithms and we verified the effectiveness of proposed schemes through numerical simulation.</p> <p> </p>

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Eneh, T., P. Rapajic, K. Anang, and Bello Lawal. "Adaptive MMSE Multiuser Detection in MIMO OFDM Wireless Communication System." Advanced Materials Research 367 (October 2011): 233–40. http://dx.doi.org/10.4028/www.scientific.net/amr.367.233.

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The combination of MIMO signal processing with OFDM is a solution to achieving high data rates for next generation wireless communication systems operating in frequency selective fading environments. To realize the extension of the MIMO with OFDM, a number of changes are required in the baseband signal processing. The developed adaptive Multiuser Detection in MIMO OFDM(AMUD) scheme performs better compared to non adaptive MIMO OFDM, at low Signal to noise ratio (SNR), it shows good performance in computational complexity, bit error rate (BER) and capacity. Simulation results show that the developed algorithm sum rate capacity is very close to MIMO theoretical upper bound (21.5 bits/s/Hz at signal to noise ratio of 20dB) which strongly indicate it’s applicability to the uplink channel where power transmission at the mobile station is a constraint. The BER performance of the developed scheme shows that, as the number of antenna increases, the 8 x 8 AMUD provides a 2dB gain compared to known non adaptive MIMO OFDMO at low SNR.

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Sejan, Mohammad Abrar Shakil, Md Habibur Rahman, Md Abdul Aziz, Dong-Sun Kim, Young-Hwan You, and Hyoung-Kyu Song. "A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends." Sensors 23, no. 2 (January 9, 2023): 739. http://dx.doi.org/10.3390/s23020739.

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Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC.

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Pyla, Srinu, K. Padma Raju, and N. Bala Subrahmanyam. "Performance Analysis of Adaptive Filter Channel Estimated MIMO OFDM Communication System." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 3829. http://dx.doi.org/10.11591/ijece.v8i5.pp3829-3836.

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Advanced Communication Systems are wideband systems to support multiple applications such as audio, video and data so and so forth. These systems require high spectral efficiency and data rates. In addition, they should provide multipath fading and inter-symbol interference (ISI) free transmission. Multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) meets these requirements Hence, MIMO-OFDM is the most preferable technique for long term evaluation advanced (LTE-A). The primary objective of this paper is to control bit error rate (BER) by proper channel coding, pilot carriers, adaptive filter channel estimation schemes and space time coding (STC). A combination of any of these schemes results in better BER performance over individual schemes. System performance is analyzed for various digital modulation schemes. In this paper,adaptive filter channel estimated MIMO OFDM system is proposed by integrating channel coding, adaptivefilter channel estimation, digital modulation and space time coding. From the simulation results, channel estimated 2×2 MIMO OFDM system shows superior performance over individual schemes.

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Pyla, Srinu, K. Padma Raju, and N. Bala Subrahmanyam. "Performance Analysis of Adaptive Filter Channel Estimated MIMO OFDM Communication System." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 3829. http://dx.doi.org/10.11591/ijece.v8i5.pp3829-3838.

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Advanced Communication Systems are wideband systems to support multiple applications such as audio, video and data so and so forth. These systems require high spectral efficiency and data rates. In addition, they should provide multipath fading and inter-symbol interference (ISI) free transmission. Multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) meets these requirements Hence, MIMO-OFDM is the most preferable technique for long term evaluation advanced (LTE-A). The primary objective of this paper is to control bit error rate (BER) by proper channel coding, pilot carriers, adaptive filter channel estimation schemes and space time coding (STC). A combination of any of these schemes results in better BER performance over individual schemes. System performance is analyzed for various digital modulation schemes. In this paper,adaptive filter channel estimated MIMO OFDM system is proposed by integrating channel coding, adaptivefilter channel estimation, digital modulation and space time coding. From the simulation results, channel estimated 2×2 MIMO OFDM system shows superior performance over individual schemes.

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Widjaja, Damar, and Yakobus Agung Purwanto. "Transmisi Data Citra pada Sistem Komunikasi Nirkabel dengan Teknik MIMO." KONSTELASI: Konvergensi Teknologi dan Sistem Informasi 1, no. 2 (April 22, 2021): 430–41. http://dx.doi.org/10.24002/konstelasi.v1i2.4304.

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Wireless data communication systems using Multiple Input Multiple Output (MIMO) technique in its transmission system has been well developed to solve many transmission media problems. This study aims to analyse the performance of MIMO 2x2 and MIMO 4x4 using image data. Encoding technique that is used in this study is Space Time Block Coding (STBC) by Alamouti. The result of this study shows that wireless communication system using MIMO technique is able to recover the image data on the receiver side the same as the image data on the transmitter side when SNR = 6.5dB for MIMO 2x2 and SNR = 4.5dB for MIMO 4x4.

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He, Hong, Tao Li, Tong Yang, and Lin He. "Research on UCD Precoding for MIMO System." Advanced Materials Research 459 (January 2012): 620–23. http://dx.doi.org/10.4028/www.scientific.net/amr.459.620.

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This article mainly describes a new technique of multiple-input multiple-output (MIMO) communication systems based on the recent communication demand. This technique, by pre-coding CSI (the channel state information) at the transmitter, is based on UCD (Uniform Channel Decomposition) algorithm for MIMO system. By Uniform Channel decomposition of channel matrix, the algorithm can decompose a MIMO downlink channel into multiple identical sub-channels. The power allocation applied to each sub channel in MIMO system is identical, and the MIMO channel’s capacity isn’t reduce when the SNR (Signal Noise Ratio) is low. The simulations show that the UCD scheme has a better performance than GMD (Geometric Mean Decomposition) scheme even without the use of error-correcting codes, and the Symbol Error Rate (SER) of UCD algorithm is lower than GMD’s at the same SNR. Consequently, MIMO system gets a better interference performance by UCD algorithm.

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Chataut, Robin, and Robert Akl. "Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction." Sensors 20, no. 10 (May 12, 2020): 2753. http://dx.doi.org/10.3390/s20102753.

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The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using relatively simple processing. Obtaining a better understating of the massive MIMO system to overcome the fundamental issues of this technology is vital for the successful deployment of 5G—and beyond—networks to realize various applications of the intelligent sensing system. In this paper, we present a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. We discuss all the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in a massive MIMO system and discuss some state-of-the-art mitigation techniques. We outline recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems. Additionally, we discuss crucial open research issues that direct future research in massive MIMO systems for 5G and beyond networks.

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Gimmler-Dumont, Christina, Frank Kienle, Bin Wu, and Guido Masera. "A System View on Iterative MIMO Detection: Dynamic Sphere Detection versus Fixed Effort List Detection." VLSI Design 2012 (April 22, 2012): 1–14. http://dx.doi.org/10.1155/2012/826350.

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Multiple-antenna systems are a promising approach to increase the data rate of wireless communication systems. One efficient possibility is spatial multiplexing of the transmitted symbols over several antennas. Many different MIMO detector algorithms exist for this spatial multiplexing. The major difference between different MIMO detectors is the resulting communications performance and implementation complexity, respectively. Particularly closed-loop MIMO systems have attained a lot of attention in the last years. In a closed-loop system, reliability information is fed back from the channel decoder to the MIMO detector. In this paper, we derive a basic framework to compare different soft-input soft-output MIMO detectors in open- and closed-loop systems. Within this framework, we analyze a depth-first sphere detector and a breadth-first fixed effort detector for different application scenarios and their effects on area and energy efficiency on the whole system. We present all system components under open- and closed-loop system aspects and determine the overall implementation cost for changing an open-loop system in a closed-loop system.

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Lodro, Mir, Gabriele Gradoni, Christopher Smartt, David Thomas, and Steve Greedy. "Compact MIMO System Performances in Metallic Enclosures." Electronics 11, no. 24 (December 15, 2022): 4188. http://dx.doi.org/10.3390/electronics11244188.

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In this work, we present a 2 × 2 near-field multi-input multiple-output (MIMO) prototype for bit-error-rate (BER) and error vector magnitude (EVM) measurements in a metal enclosure. The near-field MIMO prototype was developed using software-defined-radios (SDRs) for over-the-air transmission of QPSK modulated baseband waveforms. We checked the near-field MIMO BER and EVM measurements in three different scenarios in a highly reflecting metal enclosure environment. In the first scenario, the line-of-sight (LOS) communication link was investigated when the mode stirrer was stationary. In the stationary channel conditions, near-field MIMO BER and EVM measurements are performed. In the second scenario, BER and EVM measurements were performed in dynamic channel conditions when the mode stirrer was set to move continuously. In the third scenario, LOS communication near-field MIMO BER and EVM measurements were performed in stationary channel conditions but now in the presence of MIMO interference. In three different scenarios, near-field MIMO BER and EVM measurements were investigated at different Tx USRP gain values and in the presence of varying levels of MIMO interference.

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Waseem, Athar, Aqdas Naveed, Sardar Ali, Muhammad Arshad, Haris Anis, and Ijaz Mansoor Qureshi. "Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems." Wireless Communications and Mobile Computing 2019 (May 27, 2019): 1–15. http://dx.doi.org/10.1155/2019/6374764.

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Massive multiple-input multiple-output (MIMO) is believed to be a key technology to get 1000x data rates in wireless communication systems. Massive MIMO occupies a large number of antennas at the base station (BS) to serve multiple users at the same time. It has appeared as a promising technique to realize high-throughput green wireless communications. Massive MIMO exploits the higher degree of spatial freedom, to extensively improve the capacity and energy efficiency of the system. Thus, massive MIMO systems have been broadly accepted as an important enabling technology for 5th Generation (5G) systems. In massive MIMO systems, a precise acquisition of the channel state information (CSI) is needed for beamforming, signal detection, resource allocation, etc. Yet, having large antennas at the BS, users have to estimate channels linked with hundreds of transmit antennas. Consequently, pilot overhead gets prohibitively high. Hence, realizing the correct channel estimation with the reasonable pilot overhead has become a challenging issue, particularly for frequency division duplex (FDD) in massive MIMO systems. In this paper, by taking advantage of spatial and temporal common sparsity of massive MIMO channels in delay domain, nonorthogonal pilot design and channel estimation schemes are proposed under the frame work of structured compressive sensing (SCS) theory that considerably reduces the pilot overheads for massive MIMO FDD systems. The proposed pilot design is fundamentally different from conventional orthogonal pilot designs based on Nyquist sampling theorem. Finally, simulations have been performed to verify the performance of the proposed schemes. Compared to its conventional counterparts with fewer pilots overhead, the proposed schemes improve the performance of the system.

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Chowdhuri, Swati, Sayan Chakraborty, Nilanjan Dey, Ahmad Taher Azar, Mohammed Abdel-Megeed M. Salem, Sheli Sinha Chaudhury, and Pranab Banerjee. "Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network." International Journal of Service Science, Management, Engineering, and Technology 5, no. 3 (July 2014): 54–65. http://dx.doi.org/10.4018/ijssmet.2014070104.

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Mobile ad hoc Network (MANET) and Multi Input Multi Output (MIMO) communication are emerging techniques in modern communication system. MIMO and MANET have various applications in the wireless communication system. This paper presents a survey on recent advancement of MIMO implemented mobile ad hoc network. A review of more than 40 papers on MIMO communication based mobile ad hoc network and most of the related topics is presented in this work. This paper shows the significant contribution in the field of MIMO communication and mobile ad hoc network. Previous works in this domain can be categorized into four major areas: (a) Mathematical modeling of MIMO channel and Ad hoc networks, (b) Physical Scattering Model of MIMO channel considering fading (c) Spatial multiplexing (OFDM) technique with MIMO channel, (d) Analysis of transmission efficiency of packet radio network. The review paper establishes the advancement in these four areas as well as recent changes in advance communication and networking environments.

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Onukwugha, Chinwe Gilean, Njoku, Donatus Onyedikachi, Jibiri, Janefrances Ebere, Dimoji, and Chigozie. "Bit Error Rate Analysis Of Multiuser Massive MIMO Wireless System Using Linear Precoding." International Journal of Advanced Networking and Applications 14, no. 04 (2023): 5517–22. http://dx.doi.org/10.35444/ijana.2023.14403.

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This paper presents bit error rate (BER) analysis of multiuser (MU) massive multiple input multiple out (MIMO) wireless system using linear precoding techniques. Considering the increasing demand for wireless communication that will provide seamless performance to meet users satisfaction, various precoding schemes have been developed and with massive MIMO projected to be a promising technology for 5G and next generation network. Therefore, this study was basically designed to examine the effect of linear zero forcing (ZF) and minimum mean square error (MMSE) precoders on BER performance of MU massive MIMO system with up to 32 base station antennas (BS) and communicating with up to 5 user mobile terminals (MTs). A model that describes downlink operation of MU massive MIMO wireless communication system with spatial multiplexing employing linear ZF and MMSE precoders such that each user is equipped with single antenna MT resulting in overall access points of 5 antennas was developed in MATLAB. Computer simulations revealed that ZF outperformed MMSE. This observation was validated by similar report on massive MIMO in previous study.

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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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Zhang, Kai, Fangqi Zhang, Guoxin Zheng, and Lei Cang. "Three-Dimensional MIMO Channel Model with High-Mobility Wireless Communication Systems Using Leaky Coaxial Cable in Rectangular Tunnel." International Journal of Antennas and Propagation 2021 (February 23, 2021): 1–11. http://dx.doi.org/10.1155/2021/6622135.

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With the rapid development of high-mobility wireless communication systems, e.g., high-speed train (HST) and metro wireless communication systems, more and more attention has been paid to the wireless communication technology in tunnel-like scenarios. In this paper, we propose a three-dimensional (3D) nonstationary multiple-input multiple-output (MIMO) channel model with high-mobility wireless communication systems using leaky coaxial cable (LCX) inside a rectangular tunnel over the 1.8 GHz band. Taking into account single-bounce scattering under line-of-sight (LoS) and non-line-of-sight (NLoS) propagations condition, the analytical expressions of the channel impulse response (CIR) and temporal correlation function (T-CF) are derived. In the proposed channel model, it is assumed that a large number of scatterers are randomly distributed on the sidewall of the tunnel and the roof of the tunnel. We analyze the impact of various model parameters, including LCX spacing, time separation, movement velocity of Rx, and K-factor, on the T-CF of the MIMO channel model. For HST, the results of some further studies on the maximum speed of 360 km/h are given. By comparing the T-CF between the dipole MIMO system and the LCX-MIMO system, we can see that the performance of the LCX-MIMO system is better than that of the dipole MIMO system.

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RECIOUI, Abdelmadjid. "Capacity Optimization of MIMO Systems Involving Conformal Antenna Arrays using a Search Group Algorithm." Algerian Journal of Signals and Systems 5, no. 4 (December 15, 2020): 209–14. http://dx.doi.org/10.51485/ajss.v5i4.118.

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MIMO systems constitute a backbone of the fourth and fifth generations of wireless communication systems. The purpose of this paper is to introduce the involvement of conformal antenna arrays into MIMO systems. The Search Group Algorithm (SGA) is then used to further enhance the capacity of MIMO system employing conformal antenna arrays at both ends (Transmitter; Tx and Receiver; Rx). The results reveal that compared to the linear and 2D cases, conformal antenna arrays promise higher capacity values which motivates their employment in future MIMO communication systems.

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Chundi, Xiu, and Wang Jing. "Capacity Analysis and Simulations of Distributed Wireless Communication System." African Journal of Information & Communication Technology 1, no. 1 (September 26, 2005): 33. http://dx.doi.org/10.5130/ajict.v1i1.29.

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The information theoretic capacity of a single user distributed wireless communication system (DWCS) is investigated and compared to that of traditional cellular MIMO system. Simulation results show that, DWCS always outperforms traditional MIMO system, and the capacity gain increase with the incremental number of the fixed antennas. Moreover, the use of distributed antennas in DWCS can average the shadowing effect and solve the near-far problem efficiently.

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Hranilovic, S., and F. R. Kschischang. "A pixelated MIMO wireless optical communication system." IEEE Journal of Selected Topics in Quantum Electronics 12, no. 4 (July 2006): 859–74. http://dx.doi.org/10.1109/jstqe.2006.876601.

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Tan, Kefeng, Jean H. Andrian, Hao Zhu, Frank M. Candocia, and Chi Zhou. "A Novel Spectrum Encoding MIMO Communication System." Wireless Personal Communications 52, no. 1 (May 15, 2008): 147–63. http://dx.doi.org/10.1007/s11277-008-9506-1.

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Nawaf, Shahir Fleyeh, Lujain Sabah Abdula, and Abdulmutalib A.-Wahab Husein. "Reliability Achievement of MIMO-OFDM Communication Systems." International Conference on Applied Engineering and Natural Sciences 1, no. 1 (July 21, 2023): 634–40. http://dx.doi.org/10.59287/icaens.1070.

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Wireless communication must have high spectral efficacy and the ability to resist fading channel in an environment of channel multipath, and it is difficult to achieve these requirements with traditional modulation techniques, but the Multiple system Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) It can fulfill these requirements. Research offers a way to improve the performance of OFDM- MIMO system by decreasing the Bit Error Rate (BER) using both (DWT) Discrete Wavelet Transform and Convolutional Coding (CC). The OFDM system is modeled with a single antenna at the transmitting end and a single antenna at the receiving end (DWT) . Multiple Input Single Output (MISO) By adding a second antenna at the transmitting end, and then improving it with Output Multiple Input Single technology SIMO (by adding a second antenna at the receiving end, and with MIMO technology by adding a second antenna at the receiving end The transmitter and a second antenna at the receiving end, thus optimizing the OFDM-MIMO system using convolution coding, Then using DWT instead of FFT (Fast Fourier Transform ). The research is based on the study of BER according to bit energy to noise energy density N0/Eb. The system was modeled and tested using the MATLAB program. The use of (DWT) and (CC) in OFDM-MIMO reduces N0/Eb )4.7( dB times in the item of the Rician fading channel and 3.2 dB times in the item of the Rayleigh fading channel when BER =10-3.

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Qian, Junhui, Marco Lops, Le Zheng, Xiaodong Wang, and Zishu He. "Joint System Design for Coexistence of MIMO Radar and MIMO Communication." IEEE Transactions on Signal Processing 66, no. 13 (July 1, 2018): 3504–19. http://dx.doi.org/10.1109/tsp.2018.2831624.

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Kusumawardhani, Eka, Rina Pudji Astuti, Nachwan Mufti Adriansyah, Fitri Imansyah, and Leonardus Sandy Ade Putra. "Performance Analysis of Multiple Input Multiple Output (MIMO) Multi-Carrier Code-Division Multiple Access (MC-CDMA) Combined with Quasi-Orthogonal Space Time Block Coding (QO-STBC) in Rayleigh Fading Channel." POSITRON 12, no. 2 (November 30, 2022): 120. http://dx.doi.org/10.26418/positron.v12i2.46613.

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The need for a communication system with a higher data rate and mobility grows along with information and communication technology development. Combining MC-CDMA with the MIMO system and supporting the system with a good transmit diversity technique is a promising idea to provide the needed communication system, especially in high mobility conditions. MC-CDMA can support ubiquitous communications without affecting the achievable BER and is more capable of high-speed mobility. It integrates the benefit of both OFDM and CDMA. On the other hand, QO-STBC increases the bit rate without using additional bandwidth to transmit diversity in the MIMO system. So, this study proposed a system combining the MIMO MC-CDMA system with QO-STBC. The proposed system is investigated under high mobility conditions to see the system's performance. The simulation results show that our system performs better than the MC-CDMA STBC system and the QOSTBC system but not better than the MC-CDMA multilevel coding scheme. To reach the value of BER 10−3, MC-CDMA multilevel Coding requires less power, around 5 dB, than the proposed system.

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Recioui, Abdelmadjid, and Youcef Grainat. "Application and Optimization of MIMO Communication in Wide Area Monitoring Systems." International Journal on Data Science 1, no. 2 (May 26, 2020): 82–98. http://dx.doi.org/10.18517/ijods.1.2.82-98.2020.

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Multiple-Input Multiple-Output (MIMO) technology uses a multitude of antennas at both transmitter and receiver to transfer a larger data mount simultaneously. It is the key technology in the 4th and 5th communication system generations. In this work, the use of MIMO technology to enhance the data transfer in terms of completeness, correctness and latency in Wide Area Monitoring Systems (WAMS) is envisaged. To further enhance the system, optimization is done to design the communication system in terms of physical layout. A comparison with the state of art technologies is done to highlight how the adoption of the MIMO technology would enhance the data transfer within the smart grid.

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Singh, Nivedita, and Manoj Kumar Shukla. "Channel Estimation of DWT Based MIMO-OFDM System in Wireless Communication." Indian Journal of Science and Technology 12, no. 46 (December 20, 2019): 01–08. http://dx.doi.org/10.17485/ijst/2019/v12i46/148006.

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Wang, Ya Jing, Ya Zhen Li, and Li Qun Huang. "An Improved Algorithm Based on Optimized PTS in MIMO-OFDM System." Advanced Materials Research 765-767 (September 2013): 2801–4. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2801.

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The fourth generation mobile communication system is a high-speed broadband wireless communication system, it needs MIMO and OFDM technology which have high spectral efficiency and suitable for a multi-path fading channel. Because the MIMO-OFDM system is still an multi-carrier modulation system, the main drawback is the high PAPR value. This paper proposed an improved algorithm based on optimized PTS to reduce PAPR in STBC MIMO-OFDM system. The simulation results show that the improved algorithm can effectively reduce the PAPR value and do not increase the amount of computation in STBC MIMO-OFDM system.

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Imoize, Agbotiname Lucky, Augustus Ehiremen Ibhaze, Aderemi A. Atayero, and K. V. N. Kavitha. "Standard Propagation Channel Models for MIMO Communication Systems." Wireless Communications and Mobile Computing 2021 (February 15, 2021): 1–36. http://dx.doi.org/10.1155/2021/8838792.

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The field of wireless communication networks has witnessed a dramatic change over the last decade due to sophisticated technologies deployed to satisfy various demands peculiar to different data-intensive wireless applications. Consequently, this has led to the aggressive use of the available propagation channels to fulfill the minimum quality of service (QoS) requirement. A major barometer used to gauge the performance of a wireless communication system is the spectral efficiency (SE) of its communication channels. A key technology used to improve SE substantially is the multiple input multiple output (MIMO) technique. This article presents a detailed survey of MIMO channel models in wireless communication systems. First, we present the general MIMO channel model and identified three major MIMO channel models, viz., the physical, analytical, and standardized models. The physical models describe the MIMO channel using physical parameters. The analytical models show the statistical features of the MIMO channel with respect to the measured data. The standardized models provide a unified framework for modern radio propagation architecture, advanced signal processing, and cutting-edge multiple access techniques. Additionally, we examined the strengths and limitations of the existing channel models and discussed model design, development, parameterization, implementation, and validation. Finally, we present the recent 3GPP-based 3D channel model, the transitioning from 2D to 3D channel modeling, discuss open issues, and highlight vital lessons learned for future research exploration in MIMO communication systems.

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Hudhajanto, Rizky Pratama, I. Gede Puja Astawa, and Amang Sudarsono. "Covert Communication in MIMO-OFDM System Using Pseudo Random Location of Fake Subcarriers." EMITTER International Journal of Engineering Technology 4, no. 1 (June 15, 2016): 150–63. http://dx.doi.org/10.24003/emitter.v4i1.58.

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Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is the most used wireless transmission scheme in the world. However, its security is the interesting problem to discuss if we want to use this scheme to transmit a sensitive data, such as in the military and commercial communication systems. In this paper, we propose a new method to increase the security of MIMO-OFDM system using the change of location of fake subcarrier. The fake subcarriersâ€™ location is generated per packet of data using Pseudo Random sequence generator. The simulation results show that the proposed scheme does not decrease the performance of conventional MIMO-OFDM. The attacker or eavesdropper gets worse Bit Error Rate (BER) than the legal receiver compared to the conventional MIMO-OFDM system.

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Chen, Jia Yin, Yuan Li, Ming Chuan Yang, and Xiao Feng Liu. "The Channel Capacity of Dual-Polarized MIMO Mobile Satellite System." Applied Mechanics and Materials 643 (September 2014): 111–16. http://dx.doi.org/10.4028/www.scientific.net/amm.643.111.

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Applying Multiple-Input Multiple-Output (MIMO) technology in terrestrial wireless networks can obtain large capacity gain. Therefore, MIMO technology is widely applied in satellite communication system, in which orbital positions are increasingly crowded and frequency resources are of shortage. This paper attempts to research on channel capacity in 2×2 dual-polarized MIMO mobile satellite (DMMS) system and discovers that when XPD (Cross Polarization Discrimination) is above zero, the channel capacity increases approximately linearly with the XPD within certain range. Adding Ricean factor K in consideration of its special features,the system’s capacity increases with the Ricean factor K. Simulation results demonstrate that the application of MIMO technology in satellite mobile communication system can improve the channel capacity significantly, providing great support for the development of future satellite MIMO technology.

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Subramani, Prabu, Ganesh Babu Rajendran, Jewel Sengupta, Rocío Pérez de Prado, and Parameshachari Bidare Divakarachari. "A Block Bi-Diagonalization-Based Pre-Coding for Indoor Multiple-Input-Multiple-Output-Visible Light Communication System." Energies 13, no. 13 (July 4, 2020): 3466. http://dx.doi.org/10.3390/en13133466.

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Visible Light Communication (VLC) is a promising field in optical wireless communications, which uses the illumination infrastructure for data transmission. The important features of VLC are electromagnetic interference-free, license-free, etc. Additionally, Multiple-Input-Multiple-Output (MIMO) techniques are enabled in the VLC for enhancing the limited modulation bandwidth by its spectral efficiency. The data transmission through the MIMO-VLC system is corrupted by different interferences, namely thermal noise, shot noise and phase noise, which are caused by the traditional fluorescent light. In this paper, an effective precoding technique, namely Block Bi-Diagonalization (BBD), is enabled to mitigate the interference occurring in the indoor MIMO-VLC communications. Besides, a Quadrature Amplitude Modulation (QAM) is used to modulate the signal before transmission. Here, the indoor MIMO-VLC system is developed to analyze the communication performance under noise constraints. The performance of the proposed system is analyzed in terms of Bit Error Rate (BER) and throughput. Furthermore, the performances are compared with three different existing methods such as OAP, FBM and NRZ-OOK-LOS. The BER value of the proposed system of scenario 1 is 0.0501 at 10 dB, which is less than that of the FBM technique.

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Basu, Sukla. "A Novel Shaped Four Port MIMO Antenna for Wireless Communication." Asian Journal of Electrical Sciences 12, no. 1 (June 14, 2023): 17–22. http://dx.doi.org/10.51983/ajes-2023.12.1.3667.

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This paper presents a compact novel shaped micro strip line fed four element Multiple Input Multiple Output (MIMO) antenna for wireless application at 2.4 GHz. Four vertically oriented identical rectangular patch antennas are used to form a hollow cylinder of rectangular cross section. The direction of radiation of each antenna is thus oriented at 900 with respect to its two adjacent antennas providing good isolation between adjacent antennas in this compact MIMO system. Each antenna element has the dimensions of 0.30λx0.38λx0.012λ. The whole MIMO antenna has the outer dimensions of 0.38λx0.38λx0.30λ. The uniqueness of the proposed MIMO antenna is that the inner space of the hollow cylindrical structure can be used for hosting the associated signal processing unit of the whole system. Performance parameters of the proposed MIMO antenna are investigated using Computer Simulation Technology (CST). Envelope Correlation Coefficient (ECC) less than 0.033 and almost 10dB Diversity Gain (DG) are obtained at 2.4 GHz for this simple and compact antenna system. Ratio of Mean Effective Gain (MEG) of any two antennas is less than 0.02dB. Performance parameters of the proposed MIMO antenna system are compared with similar types of antennas found in recent literature.

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Vasilyev, Gleb Sergeevich, Oleg R. Kuzichkin, and Dmitry I. Surzhik. "Performance analysis of MIMO communication system with NLOS UV channel." Photonics Letters of Poland 12, no. 4 (December 17, 2020): 91. http://dx.doi.org/10.4302/plp.v12i4.985.

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Performance analysis is carried out, of a multiple input, multiple output (MIMO) ultraviolet (UV) communication system with a non-line-of-sight (NLOS) UV channel. The achievable bit error coefficient is calculated using three spatial multiplexing methods for different bitrate values, azimuthal deviation between the directional diagrams of an optical transmitter and an optical receiver, and different noise levels. Full Text: PDF ReferencesZ. Xu, B. Sadler, "Ultraviolet communications: potential and state-of-the-art", IEEE Commun. Mag. 4667-73 (2009). CrossRef D. Han, Y. Liu, K. Zhang et al., "Theoretical and experimental research on diversity reception technology in NLOS UV communication system", Opt. Expr. 20(14), 15833 (2012). CrossRef Q. Guo, N. He, Z. He, "Research on the channel performances and transmission in UV-LED scatter communications", Study Opt. Comm. 3, 64 (2013). DirectLink G. Chen, L. Liao, Z. Li et al., "Experimental and simulated evaluation of long distance NLOS UV communication", Communication Systems, Networks and Digital Signal Processing (CSND-SP), 9th Int. Symp. on IEEE, 904-909 (2014). CrossRef M.A. El-Shimy, S. Hranilovic, "Spatial-Diversity Imaging Receivers for Non-Line-of-Sight Solar-Blind UV Communications", J. Lightwave Techn. 33(11), 2246 (2015). CrossRef G. Shaw, M. Nischan, M. Iyengar, S. Kaushik, M. Griffin, NLOS UV communication for distributed sensor systems, Proc. SPIE 412683, 96 (2000). CrossRef I.S. Konstantinov, G.S. Vasyliev, O.R. Kuzichkin, D.I. Surzhik, I.A. Kurilov, S.A. Lazarev, "AUV Link Mobile Ad-Hoc Network Examination", J. Eng. Adv. Techn. 8(5S) July 2019 CrossRef I.S. Konstantinov, G.S. Vasilyev, O.R. Kuzichkin, I.A. Kurilov, S.A. Lazarev, "Modeling and Analysis of the Characteristics of Ultraviolet Channels under Different Conditions of Radiation Propagation for the Organization of Wireless AD-HOC Network", J. Adv. Res. Dynam. Contr. Syst. 07, 1853 (2018) DirectLink I.S. Konstantinov, G.S. Vasyliev, O.R. Kuzichkin, D.I. Surzhik, I.A. Kurilov, S.A. Lazarev, "Development Of Uv Communication Channels Characteristics Modeling Algorithm In A Mobile Ad-Hoc Network", J. Adv. Res. Dynam. Contr. Syst. 11(08), 1920 (2019). CrossRef G. Chen, F. Abou-Galala, Z. Xu, B.M. Sadler, "Experimental evaluation of LED-based solar blind NLOS communication links", Opt. Expr. 16(19), 15059 (2008). CrossRef

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Del Puerto-Flores, J. Alberto, Francisco R. Castillo-Soria, Carlos A. Gutiérrez, and Fernando Peña-Campos. "Efficient Index Modulation-Based MIMO OFDM Data Transmission and Detection for V2V Highly Dispersive Channels." Mathematics 11, no. 12 (June 20, 2023): 2773. http://dx.doi.org/10.3390/math11122773.

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Vehicle-to-vehicle (V2V) communication networks are based on vehicles that wirelessly exchange data, traffic congestion, and safety warnings between them. The design of new V2V systems requires increasingly energetically and spectrally efficient systems. Conventional multiple-input–multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems have been used successfully for the last decade. However, MIMO-OFDM systems need to be improved to face future communication networks in high-mobility environments. This article proposes an efficient index modulation (IM)-based MIMO-OFDM system for V2V channels. The proposed transmission system is evaluated in high Doppler-spread channels. The results demonstrate that the proposed scheme reduces the required computational complexity in data detection and exhibits gains of up to 3 dB in bit error rate (BER) performance when compared to the conventional MIMO-OFDM system under the same conditions and parameters, along with achieving superior spectral efficiency. The results show the viability of implementing the proposed system in practical applications for high-transmission-rate V2V channels.

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Ruan, Jin Xin, Yan Xu, and Miao Cui. "Frequency-Hopping Communication Technology Based on Self-Adaptive MIMO-OFDM System." Advanced Materials Research 945-949 (June 2014): 2230–36. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2230.

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Along with the gradual increase of intelligent and information equipment on the battlefield, the fierce electronic warfare between the enemy and us makes the electromagnetic environment of the battlefield more and more severe. The anti-jamming capability of conventional frequency-hopping communication system is inadequate such as anti-dynamic interference, anti-intercept, etc., thus posing a serious threat to normal military communication. Moreover, currently the data transmission rate of frequency-hopping system is fairly lower, and cannot meet the increasing large-capacity real-time data transmission requirements. This article deeply researches self-adaptive MIMO-OFDM technology and frequency-hopping communication technology, and introduces the research on frequency-hopping communication technology based on self-adaptive MIMO-OFDM system. The research shows that self-adaptive MIMO-OFDM-based technology can effectively enhance the frequency-hopping communication system’s anti-jamming and anti-intercepting capability, and improve the data transmission rate.

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Journal articles on the topic 'MIMO COMMUNICATION SYSTEM'

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