Relevant bibliographies by topics / Multi-Antenna Streams

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Academic literature on the topic 'Multi-Antenna Streams'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Multi-Antenna Streams"

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YADAV, J. K. S., R. K. GIRI, and L. R. MEENA. "IPWV estimation and data quality analysis from different GNSS antenna." MAUSAM 63, no. 1 (December 31, 2021): 77–88. http://dx.doi.org/10.54302/mausam.v63i1.1458.

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Global Navigation Satellite System (GNSS) is widely used now days in variety of applications. The observation file for the near realtime estimation of Integrated Precipitable Water Vapour (IPWV) received at the ground-based receiver is mixed with ambiguities. Multi-path effects affect the positional accuracy as well as range from satellite to ground based receiver of the system. The designing of the antenna suppress the effect of multi-path, cycle slips, number of observations, and signal strength and data gaps within the data streams. This paper presents the preliminary data quality control findings of the Patch antenna (LeicaX1202), 3D Choke ring antenna (LeicaAR25 GNSS) and Trimble Zephyr antenna (TRM 39105.00). The results shows that choke ring antenna have least gaps in the data, cycle slips and multi-path effects along with improvement in IPWV. The signal strength and the number of observations are more in case of 3D choke ring antenna.
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Dilli, Ravilla. "Performance analysis of multi user massive MIMO hybrid beamforming systems at millimeter wave frequency bands." Wireless Networks 27, no. 3 (February 4, 2021): 1925–39. http://dx.doi.org/10.1007/s11276-021-02546-w.

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AbstractMillimeter-wave (mmWave) and massive multi-input–multi-output (mMIMO) communications are the most key enabling technologies for next generation wireless networks to have large available spectrum and throughput. mMIMO is a promising technique for increasing the spectral efficiency of wireless networks, by deploying large antenna arrays at the base station (BS) and perform coherent transceiver processing. Implementation of mMIMO systems at mmWave frequencies resolve the issue of high path-loss by providing higher antenna gains. The motivation for this research work is that mmWave and mMIMO operations will be much more popular in 5G NR, considering the wide deployment of mMIMO in major frequency bands as per 3rd generation partnership project. In this paper, a downlink multi-user mMIMO (MU-mMIMO) hybrid beamforming communication system is designed with multiple independent data streams per user and accurate channel state information. It emphasizes the hybrid precoding at transmitter and combining at receiver of a mmWave MU-mMIMO hybrid beamforming system. Results of this research work give the tradeoff between multiple data streams per user and required number of BS antennas. It strongly recommends for higher number of parallel data streams per user in a mmWave MU-mMIMO systems to achieve higher order throughputs.
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Bashar, Dr Abul. "Artificial Intelligence Based LTE MIMO Antenna for 5th Generation Mobile Networks." September 2020 2, no. 3 (June 13, 2020): 155–62. http://dx.doi.org/10.36548/jaicn.2020.3.002.

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Artificial intelligence based long term evolution multi in multi output antenna supporting the fifth generation mobile networks is put forth in the paper. The mechanism laid out in paper is devised using the monopole-antenna integrated with the switchable pattern. The long term evolution based multiple input and multiple output antenna is equipped with four antennas and capable of providing a four concurrent data streams quadrupling the theoretical maximum speed of data transfer allowing the base station to convey four diverse signals through four diverse transmit antennas for a single user equipment. The utilization of the long term evolution multiple input multiple output is capable of utilizing the multi-trial broadcasting to offer betterments in the signal performance as well as throughput and spectral efficiency when used along the fifth generation mobile networks. So the paper proposes the artificial intelligence based long term evolution multiple input multiple output four transmit antenna with four diverse signal transmission capacity that is operating in the frequency of 3.501 Gigahertz frequency. The laid out design is evaluated using the Multi-input Multi output signal analyzer to acquire the capacity of the passive conveyance of the various antennas with the diverse combination of patterns. The outcomes observed enables the artificial intelligence antenna to identify the choicest antenna to be integrated in the diverse environments for improving the throughput, signal performance and the data conveyance speed.
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Dilli, Ravilla. "Design and Feasibility Verification of 6G Wireless Communication Systems with State of the Art Technologies." International Journal of Wireless Information Networks 29, no. 1 (December 28, 2021): 93–117. http://dx.doi.org/10.1007/s10776-021-00546-3.

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AbstractFrequencies above 100 GHz are the promising frequency bands for 6G wireless communication systems because of the abundant unexplored and unused spectrum. The increasing global demand for ultra-high spectral efficiencies, data rates, speeds and bandwidths in next-generation wireless networks motivates the exploration of peak capabilities of massive MIMO (Multi–Input–Multi–Output) wireless access technology at THz bands (0.1–10 THz). The smaller wavelengths (order of microns) of these frequencies give an advantage of making high gain antennas with smaller physical dimensions and allows massive spatial multiplexing. This paper presents the design of ultra-massive MIMO (ultra-mMIMO) hybrid beamforming system for multi users and its feasibility to function at THz frequency bands. The functionality of the proposed system is verified at higher order modulation schemes to achieve higher spectral efficiencies using performance metrics that includes error vector magnitude, symbol constellations, and antenna array radiation beams. The performance results suggest to use a particular mMIMO antenna configuration based on number of independent data streams per user and strongly recommended to use higher number of data streams per user in order to achieve higher throughputs that satisfy the needs of 6G wireless systems. Also the performance of the proposed system at 0.14 THz is compared with mmWave systems that operate at 28 GHz and 73 GHz bands to justify the feasibility of the proposed work.
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Alausta, Gamal M. "Comparative Study of Different Antenna Configurations for the MIMOOSTBC Technique Using FEC and the Rayleigh Fading Channel." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 7 (November 4, 2020): 1022–27. http://dx.doi.org/10.2174/2352096507666200122094614.

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Background: Multi-Input Multi-Output (MIMO) systems using Orthogonal Space-Time Block Coding (OSTBC) gained extensive popularity in wireless applications owing to the potential of providing improved reliability. Methods: The performance of MIMO - OSTBC systems using error-correcting code (Convolutional, Reed Solomon and Interleaving) schemes used to encode data streams in wireless communications using the Rayleigh channel is reported here. These are subjected to experimentation under modulation schemes such as Quadrature Phase Shift Keying (QPSK). Decoding occurs using the Maximum Likelihood (ML) algorithm, which provides high data rates using spatial domains under the limits of power transmission and limited bandwidths. Results: Different simulations are performed to detect the best BER performance for various antenna configurations and values of antenna configurations with Error Correction so as to use the best outcomes to model the OSTBC. Conclusion: Their effect of improving the overall can be noticed by the advantages of OSTBC with the correcting codes and the maximum number of configurations.
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Nguyen, Hieu, Van Duc Nguyen, Trung Kien Nguyen, Kiattisak Maichalernnukul, Feng Zheng, and Thomas Kaiser. "On the Performance of the Time Reversal SM-MIMO-UWB System on Correlated Channels." International Journal of Antennas and Propagation 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/929018.

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The impact of spatial correlation on the multi-input multi-output ultrawide band (MIMO-UWB) system using the time reversal (TR) technique is investigated. Thanks to TR, several data streams can be transmitted by using only one antenna in a system named virtual MIMO-TRUWB. Since the virtual MIMO-TR-UWB system is not affected by the transmit correlation, under the condition of the high spatial correlation, it outperforms the true MIMO-UWB system with multiple transmit antennas. The channel measurements are performed in short-range indoor environment, both line-of-sight and non-line-of-sight to verify the adopted correlated channel model.
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Lee, Woon-Sang, Jae-Hyun Ro, Young-Hwan You, Duckdong Hwang, and Hyoung-Kyu Song. "An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems." Applied Sciences 10, no. 13 (June 30, 2020): 4547. http://dx.doi.org/10.3390/app10134547.

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Recently, as the demand for data rate of users has increased, wireless communication systems have aimed to offer high throughput. For this reason, various techniques which guarantee high performance have been invented, such as massive multiple-input multiple-output (MIMO). However, the implementation of huge base station (BS) antenna array and decrease of reliability as the number of users increases are chief obstacles. In order to mitigate these problems, this paper proposes an adaptive precoder which provides high throughput and bit error rate (BER) performances to achieve the desired data rate in multi user (MU) MIMO downlink systems which have a practical BS antenna array (up to 16). The proposed scheme is optimized with a modified minimum mean square error (MMSE) criterion in order to improve BER gain and reduce data streams in order to obtain diversity gain at low signal to noise ratio (SNR). It is shown that the BER and throughput performances of the proposed scheme are improved.
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Megson, Gavin, Sabyasachi Gupta, Syed Muhammad Hashir, Ehsan Aryafar, and Joseph Camp. "An Experiment-Based Comparison between Fully Digital and Hybrid Beamforming Radio Architectures for Many-Antenna Full-Duplex Wireless Communication." Electronics 11, no. 1 (December 25, 2021): 59. http://dx.doi.org/10.3390/electronics11010059.

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Full-duplex (FD) communication in many-antenna base stations (BSs) is hampered by self-interference (SI). This is because a FD node’s transmitting signal generates significant interference to its own receiver. Recent works have shown that it is possible to reduce/eliminate this SI in fully digital many-antenna systems, e.g., through transmit beamforming by using some spatial degrees of freedom to reduce SI instead of increasing the beamforming gain. On a parallel front, hybrid beamforming has recently emerged as a radio architecture that uses multiple antennas per FR chain. This can significantly reduce the cost of the end device (e.g., BS) but may also reduce the capacity or SI reduction gains of a fully digital radio system. This is because a fully digital radio architecture can change both the amplitude and phase of the wireless signal and send different data streams from each antenna element. Our goal in this paper is to quantify the performance gap between these two radio architectures in terms of SI cancellation and system capacity, particularly in multi-user MIMO setups. To do so, we experimentally compare the performance of a state-of-the-art fully digital many antenna FD solution to a hybrid beamforming architecture and compare the corresponding performance metrics leveraging a fully programmable many-antenna testbed and collecting over-the-air wireless channel data. We show that SI cancellation through beam design on a hybrid beamforming radio architecture can achieve capacity within 16% of that of a fully digital architecture. The performance gap further shrinks with a higher number of quantization bits in the hybrid beamforming system.
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Urquiza Villalonga, David Alejandro, Hatem OdetAlla, M. Julia Fernández-Getino García, and Adam Flizikowski. "Spectral Efficiency of Precoded 5G-NR in Single and Multi-User Scenarios under Imperfect Channel Knowledge: A Comprehensive Guide for Implementation." Electronics 11, no. 24 (December 19, 2022): 4237. http://dx.doi.org/10.3390/electronics11244237.

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Digital precoding techniques have been widely applied in multiple-input multiple-output (MIMO) systems to enhance spectral efficiency (SE) which is crucial in 5G New Radio (NR). Therefore, the 3rd Generation Partnership Project (3GPP) has developed codebook-based MIMO precoding strategies to achieve a good trade-off between performance, complexity, and signal overhead. This paper aims to evaluate the performance bounds in SE achieved by the 5G-NR precoding matrices in single-user (SU) and multi-user (MU) MIMO systems, namely Type I and Type II, respectively. The implementation of these codebooks is covered providing a comprehensive guide with a detailed analysis. The performance of the 5G-NR precoder is compared with theoretical precoding techniques such as singular value decomposition (SVD) and block-diagonalization to quantify the margin of improvement of the standardized methods. Several configurations of antenna arrays, number of antenna ports, and parallel data streams are considered for simulations. Moreover, the effect of channel estimation errors on the system performance is analyzed in both SU and MU-MIMO cases. For a realistic framework, the SE values are obtained for a practical deployment based on a clustered delay line (CDL) channel model. These results provide valuable insights for system designers about the implementation and performance of the 5G-NR precoding matrices.
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Du, Jianhe, Meng Han, Yan Hua, Yuanzhi Chen, and Heyun Lin. "A Robust Semi-Blind Receiver for Joint Symbol and Channel Parameter Estimation in Multiple-Antenna Systems." Electronics 8, no. 5 (May 16, 2019): 550. http://dx.doi.org/10.3390/electronics8050550.

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For multiple-antenna systems, the technologies of joint symbol and channel parameter estimation have been developed in recent works. However, existing technologies have a number of problems, such as performance degradation and the large cost of prior information. In this paper, a tensor space-time coding scheme in multiple-antenna systems was considered. This scheme allowed spreading, multiplexing, and allocating information symbols associated with multiple transmitted data streams. We showed that the received signal was formulated as a third-order tensor satisfying a Tucker-2 model, and then a robust semi-blind receiver was developed based on the optimized Levenberg–Marquardt (LM) algorithm. Under the assumption that the instantaneous channel state information (CSI) is unknown at the receiving end, the proposed semi-blind receiver jointly estimates the information symbol and channel parameters efficiently. The proposed receiver had a better estimation performance compared with existing semi-blind receivers, and still performed well when the channel became strongly correlated. Moreover, the proposed semi-blind receiver could be extended to the multi-user massive multiple-input multiple-output (MIMO) system for joint symbol and channel estimation. Computer simulation results were shown to demonstrate the effectiveness of the proposed receiver.
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Dissertations / Theses on the topic "Multi-Antenna Streams"

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Pradhan, Ashish Kumar. "Energy Efficient Flexible Baseband Processing for Mobile and Cognitive Radios." Thesis, 2016. http://etd.iisc.ac.in/handle/2005/4278.

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Wireless communication has become an integral part of human life, and one of the dominating applications in today’s world. Mobile communication devices are the largest consumer electronic group in terms of volume. In 2007, there was an estimated 3.3 billion mobile telephone subscriptions. This number is roughly half of the world's population. Applications like web browsing, online-shopping, email, video streaming, video conferencing and mobile-banking have all become key applications for mobile devices. As the demand for such services increase day by day, there is a scarcity of available spectrum. In order to provide affordable connectivity, innovative methods are proposed and being adopted in the state-of-the-art standards, such as IEEE 802.22, IEEE P1900 etc, which specify cognitive usage of radio spectrum. In a cognitive radio paradigm, the notion of coexistence, and opportunistic use of radio resources are prescribed. In such case, if a primary user is inactive (not using it's radio resources for some time/code/frequency) a secondary user is allowed to use those radio resources, when the primary is active again, the secondary user releases those radio resources within a pre-determined time span. Hence, a Customer Premise Equipment, intended to support opportunistic use of radio spectrum, must possess, flexible PHY processing and swiftly change from on radio configuration to another well within the response time (to enable the whole protocol stack from radio resource management to PHY processing configurations). Traditional DSP based solution for flexible PHY processing is very expensive in terms of power, and processing latency. Application Specific Instruction Processors (ASIPs), on the other hand emerged as alternative to DSP for flexible processing of specific functional blocks (algorithms) for power and latency. However, both the DSPs and ASIPs require programming for realization of specific functionalities. Changing from one configuration to another configuration requires re-programming. Such re programming is not a sweet solution for frequent back and forth mode of operation as expected for cognitive radio devices primarily because of reconfiguration time, reprogramming cost and power. In this research work, we investigate alternative solutions for swift change and provide low-power, low-latency efficient multi-mode operation for major power hungry PHY processing DSP blocks/algorithms. Specifically, we propose dynamically reconfigurable multi-mode hardware modules (accelerators) for FFTs, IFFTs, QRD, Sphere Decoder, and Viterbi Decoder, for Various state of the art wireless standards. Major contribution of the thesis includes: - Dynamically reconfigurable variable length FFT/IFFT processor for OFDM and OFDMA applications. - Dynamically reconfigurable OP-reordering circuit for variable length FFT/IFFTs. - Energy Efficient, Dynamically reconfigurable QR decomposition architecture for Multi-mode (2x2 to 8x8 antenna) Wireless MIMO communications. - A Dynamically reconfigurable multi-core multi-mode (2x2 to 8x8 antenna, up to 64-QAM) Sphere Decoder for agile MIMO communication system. - A reconfigurable Viterbi decoder for SDR and Mobile Communications.
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Khanafer, Ali. "Precoding and Resource Allocation for Multi-user Multi-antenna Broadband Wireless Systems." Thesis, 2010. http://hdl.handle.net/1807/25728.

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This thesis is targeted at precoding methods and resource allocation for the downlink of fixed multi-user multi-antenna broadband wireless systems. We explore different utilizations of precoders in transmission over frequency-selective channels. We first consider the weighted sum-rate (WSR) maximization problem for multi-carrier systems using linear precoding and propose a low complexity algorithm which exhibits near-optimal performance. Moreover, we offer a novel rate allocation method that utilizes the signalto- noise-ratio (SNR) gap to capacity concept to choose the rates to allocate to each data stream. We then study a single-carrier transmission scheme that overcomes known impairments associated with multi-carrier systems. The proposed scheme utilizes timereversal space-time block coding (TR-STBC) to orthogonalize the downlink receivers and performs the required pre-equalization using Tomlinson-Harashima precoding (THP).We finally discuss the strengths and weaknesses of the proposed method.
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Book chapters on the topic "Multi-Antenna Streams"

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Rajo-Iglesias, Eva, and Mohammad S. Sharawi. "MIMO Antennas." In Wideband, Multiband, and Smart Reconfigurable Antennas for Modern Wireless Communications, 145–75. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8645-8.ch005.

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Multiple-Input-Multiple-Output (MIMO) technology has appeared to overcome the data throughput limit faced by conventional Single-Input-Single-Output (SISO) wireless communication systems. In MIMO, a significant increase in the data throughput is obtained using multiple data streams sent and received by multiple antenna elements on the transmitter and receiver ends, and this is why fourth generation (4G) wireless systems are supporting more real time multimedia applications and videos compared to older generations. The design of MIMO antenna systems is not a trivial task, and needs careful design practices. Several performance metrics have been identified for MIMO antenna systems that need to be evaluated on top of the conventional single element antenna systems. In this chapter, we will start by giving a brief background on wireless systems evolution and then highlighting the advantages of MIMO technology and its use in current 4G and future 5G wireless communication standards. The second section will treat in detail the various performance metrics that are needed to evaluate the behavior of a MIMO antenna system. The new metrics that are required for MIMO performance characterization such as the total active reflection coefficient (TARC) for multi-port antenna systems, correlation coefficient, diversity gain and channel capacity evaluation will be discussed in details. Several examples of single-band and Multi-band MIMO antenna systems are considered next with various types of antenna elements and covering a variety of wireless applications and device sizes. The chapter ends with a discussion on some of the challenges encountered in the design of MIMO antennas.
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Conference papers on the topic "Multi-Antenna Streams"

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Chen, Xiaoming, and Per-Simon Kildal. "Characterization of multi-antenna systems in RIMP and random-LOS environments using probability of detection of different bit streams." In 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS). IEEE, 2014. http://dx.doi.org/10.1109/ursigass.2014.6929029.

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Yetis, Cenk M., and Ronald Y. Chang. "Distributed Multi-Stream Beamforming in Multi-Relay Interference Networks with Multi-Antenna Nodes." In 2019 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2019. http://dx.doi.org/10.1109/iccnc.2019.8685603.

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Xiaoyue Hou, Hui Zhao, Hang Long, and Hanlin Meng. "Codebook design based on LBG algorithm for multi-antenna multi-stream systems." In 2015 IEEE 6th International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE). IEEE, 2015. http://dx.doi.org/10.1109/mape.2015.7510424.

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Chen, Danshan, and Alister G. Burr. "Adaptive stream mapping multi antenna systems with low complexity iterative detection." In 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757782.

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Kazemipourleilabadi, Negin, Mutlu Koca, and Hikmet Sari. "Precoding to Counteract Antenna and Channel Correlations in Multi-Stream Spatial Modulation." In 2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021. http://dx.doi.org/10.1109/wcnc49053.2021.9417385.

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Akdim, Nabil, Carles Navarro Manchon, Mustapha Benjillali, and Elisabeth de Carvalho. "Ping Pong Beam Training for Multi Stream MIMO Communications with Hybrid Antenna Arrays." In 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2018. http://dx.doi.org/10.1109/glocomw.2018.8644444.

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