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Journal articles on the topic 'Communications MU-MIMO'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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1

Shen, Ye-Shun, Fang-Biau Ueng, and Chin-Yang Kung. "Novel Detectors for Massive MU-MIMO Communications." IETE Journal of Research 66, no. 6 (2019): 823–40. http://dx.doi.org/10.1080/03772063.2019.1615390.

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2

Hemrungrote, Sirichai, Toshikazu Hori, Mitoshi Fujimoto, and Kentaro Nishimori. "Channel Capacity Evaluation for Urban MIMO Systems Using Path Visibility." ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, no. 1 (2010): 121–32. http://dx.doi.org/10.37936/ecti-eec.201191.172335.

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Multiple-Input Multiple-Output (MIMO) and Multi-User MIMO (MU-MIMO) systems are expected to improve the channel capacity over the limited bandwidth of existing wireless communication networks. The effects on the channel capacity characteristics of Single-User MIMO (SU-MIMO) systems in urban scenarios have been previously studied. In this paper, we first clarify that the larger number of antennas cannot contribute the improvement in the channel capacity in urban SU-MIMO scenarios due to the very high spatial correlation. Next, we focus on the MU-MIMO transmission because it can discriminate mul

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3

Castillo-Soria, Francisco R., J. Alberto Del Puerto-Flores, Cesar A. Azurdia-Meza, Vinoth Babu Kumaravelu, Jorge Simón, and Carlos A. Gutierrez. "Precoding for RIS-Assisted Multi-User MIMO-DQSM Transmission Systems." Future Internet 15, no. 9 (2023): 299. http://dx.doi.org/10.3390/fi15090299.

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This paper presents two precoding techniques for a reconfigurable intelligent surface (RIS)-assisted multi-user (MU) multiple-input multiple-output (MIMO) double quadrature spatial modulation (DQSM) downlink transmission system. Instead of being applied at the remote RIS, the phase shift vector is applied at the base station (BS) by using a double precoding stage. Results show that the proposed RIS-MU-MIMO-DQSM system has gains of up to 17 dB in terms of bit error rate (BER) and a reduction in detection complexity of 51% when compared with the conventional MU-MIMO system based on quadrature am

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4

Liu, Fan, Christos Masouros, Ang Li, Huafei Sun, and Lajos Hanzo. "MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission." IEEE Transactions on Wireless Communications 17, no. 4 (2018): 2755–70. http://dx.doi.org/10.1109/twc.2018.2803045.

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5

FANG, Shu, Li-hua LI, and Ping ZHANG. "Grassmannian precoding MU-MIMO scheme." Journal of China Universities of Posts and Telecommunications 15, no. 3 (2008): 105–17. http://dx.doi.org/10.1016/s1005-8885(08)60116-8.

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6

Ibrahim, Sarmad Khaleel, and Saif A. Abdulhussien. "Performance evaluation of precoding system for massive multiple-input multiple-output." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2054–61. http://dx.doi.org/10.11591/eei.v11i4.3877.

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Low latency, high data speeds, and a higher degree of perceived service quality for consumers and base station capacity are only some of the advantages of fifth generation (5G) mobile communications. This paper focuses on the design of a precoding system for downlink transmission of multi-user multiple-input multiple-output (MU-MIMO). For MU-MIMO systems, the traditional precoding techniques investigated are difficult since the transmitter precoding matrices created by singular value decomposition (SVD) are calculated twice. This paper implements different techniques of precoding with channel

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NISHIMORI, Kentaro, Riichi KUDO, Naoki HONMA, Yasushi TAKATORI, and Masato MIZOGUCHI. "16 × 16 MIMO Testbed for MU-MIMO Downlink Transmission." IEICE Transactions on Communications E93-B, no. 2 (2010): 345–52. http://dx.doi.org/10.1587/transcom.e93.b.345.

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8

Kim, Jinwoo, and Chung G. Kang. "Diversity-Multiplexing-Nulling Trade-Off Analysis of Multiuser MIMO System for Intercell Interference Coordination." Wireless Communications and Mobile Computing 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/5709367.

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A fundamental performance trade-off of multicell multiuser multiple-input multiple-output (MU-MIMO) systems is explored for achieving intercell and intracell interference-free conditions. In particular, we analyze the three-dimensional diversity-multiplexing-nulling trade-off (DMNT) among the diversity order (i.e., the slope of the error performance curve), multiplexing order (i.e., the number of users that are simultaneously served by MU-MIMO), and nulling order (i.e., the number of users with zero interference in a victim cell). This trade-off quantifies the performance of MU-MIMO in terms o

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Shinkevich, Artem, Dmitry A. Pokamestov, Yakov V. Kryukov, Evgeny V. Rogozhnikov, Georgy N. Shalin, and Andrey A. Brovkin. "Evaluation of noise immunity of multi-user MIMO systems with imperfect channel estimation and other distortions." Radioelectronics. Nanosystems. Information Technologies. 15, no. 4 (2023): 441–52. http://dx.doi.org/10.17725/rensit.2023.15.441.

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The technology of multi-antenna MIMO (Multiple Input Multiple Output) systems is actively used in modern wireless communication systems. MIMO can enhance the performance of wireless data transmission systems, but their effectiveness depends on the transmission conditions. Ideal conditions are represented as a channel with a large number of possible signal propagation paths and an error-free estimation of its parameters. The estimation error significantly affects the performance of the beamforming algorithms used to mitigate inter-user interference in multi-user MIMO (MU-MIMO) systems. Spatial

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10

Khomyat, Tanapong, Peerapong Uthansakul, and Monthippa Uthansakul. "Performance Analysis of MU-MIMO Systems Using HMRS Technique for Various Transmission Modes." ECTI Transactions on Electrical Engineering, Electronics, and Communications 12, no. 1 (2014): 53–62. http://dx.doi.org/10.37936/ecti-eec.2014121.170804.

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It is the fact that the bandwidth of wireless communication system is such a limited resource that several techniques are selectively applied to increase the bandwidth efficiency. The highest bandwidth efficiency can be taken by applying Multi-User Multiple-Input Multiple-Output (MU-MIMO) technique. For this technique, the complexity of detection is rapidly increased by increasing the number of users. Thus the lower complex detection is necessarily required for MU-MIMO system. Recently, the simple detection technique called hybrid-MIMO receiver scheme (HMRS) has been proposed by the authors. H

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11

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 (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 con

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12

Kapoor, Rajesh, Aasheesh Shukla, and Vishal Goyal. "Performance evaluation of unmanned aerial vehicle communication by increasing antennas of cellular base stations." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 222. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp222-237.

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The utilization of unmanned aerial vehicles (UAVs) increases with increased performance of their communication link with the ground remote station. Integrating UAVs with existing cellular networks provides the possibility of enhanced performance of communication links. The base stations of existing cellular networks are installed with fixed number of antennas. The performance of UAV communication links can be further enhanced by increasing antennas of cellular base stations of existing networks using multiple antenna techniques such as multi ple input multiple output (MIMO). In this proposed s

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13

Kapoor, Rajesh, Aasheesh Shukla, and Vishal Goyal. "Performance evaluation of unmanned aerial vehicle communication by increasing antennas of cellular base stations." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 222–37. https://doi.org/10.11591/ijeecs.v27.i1.pp222-237.

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The utilization of unmanned aerial vehicles (UAVs) increases with increased performance of their communication link with the ground remote station. Integrating UAVs with existing cellular networks provides the possibility of enhanced performance of communication links. The base stations of existing cellular networks are installed with fixed number of antennas. The performance of UAV communication links can be further enhanced by increasing antennas of cellular base stations of existing networks using multiple antenna techniques such as multiple input multiple output (MIMO). In this proposed sc

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14

Akajewole, M. A., and D. U. Onyishi. "A reliable downlink MIMO algorithm for mitigating the effect of user equipment mobility in multi-user MIMO in fifth-generation and beyond networks." Nigerian Journal of Technology 43, no. 2 (2024): 328–37. http://dx.doi.org/10.4314/njt.v43i2.16.

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Multiple Input Multiple Output (MIMO) wireless systems offer substantial capacity gains over conventional wireless channels, making them well-suited for future high-speed wireless communications. However, ensuring high Quality of Service (QoS) for users in terms of signal quality, data speed, and reliability are some of the challenges of 5G wireless cellular networks. However, the effect of users’ mobility potentially may result in significant inter-beam interference, which increases the probability of outage in a Multi-User-MIMO (MU-MIMO) system. Although several studies have been carried out

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15

Yan, Yubo, Panlong Yang, Jie Xiong, and Xiang-Yang Li. "OpenCarrier: Breaking the User Limit for Uplink MU-MIMO Transmissions With Coordinated APs." ACM Transactions on Sensor Networks 18, no. 2 (2022): 1–21. http://dx.doi.org/10.1145/3488382.

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The global IoT market is experiencing a fast growth with a massive number of IoT/wearable devices deployed around us and even on our bodies. This trend incorporates more users to upload data frequently and timely to the APs. Previous work mainly focus on improving the up-link throughput. However, incorporating more users to transmit concurrently is actually more important than improving the throughout for each individual user, as the IoT devices may not require very high transmission rates but the number of devices is usually large. In the current state-of-the-arts (up-link MU-MIMO), the numbe

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16

KIM, Young-Joon, Jung-Seung LEE, and Doo-Kwon BAIK. "MU-MIMO Pairing Algorithm Using Received Power." IEICE Transactions on Communications E92-B, no. 12 (2009): 3947–49. http://dx.doi.org/10.1587/transcom.e92.b.3947.

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17

Rao, Dasari Srinivasa, and Victor Dhason Berlin Hency. "QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs." Journal of Telecommunications and Information Technology 4 (December 20, 2017): 17–24. http://dx.doi.org/10.26636/jtit.2017.112217.

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The shift in Multi-User Multiple Input Multiple Output (MU-MIMO) has gained attention due to its wide support in very high throughput Wireless Local Area Networks (WLANs) such as the 802.11ac. However, the full advantage of MU-MIMO can be utilized only with proper user selection and scheduling. Also, providing Quality of Service (QoS) support is a major challenge for these wireless networks. Generally, user scheduling is done with the acquisition of Channel State Information (CSI) from all the users. In MU-MIMO based WLANs, the number of CSI request increases with the number of users. This res

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18

Aggarwal, Shivang, Srisai Karthik Neelamraju, Ajit Bhat, and Dimitrios Koutsonikolas. "A Detailed Look at MIMO Performance in 60 GHz WLANs." ACM SIGMETRICS Performance Evaluation Review 50, no. 1 (2022): 25–26. http://dx.doi.org/10.1145/3547353.3530971.

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One of the key enhancements in the upcoming 802.11ay standard for 60 GHz WLANs is the support for simultaneous transmissions of up to 8 data streams via SU- and MU-MIMO, which has the potential to enable data rates up to 100 Gbps. However, in spite of the key role MIMO is expected to play in 802.11ay, experimental evaluation of MIMO performance in 60 GHz WLANs has been limited to date, primarily due to lack of hardware supporting MIMO transmissions at millimeter wave frequencies. In this work, we fill this gap by conducting the first large-scale experimental evaluation of SU- and MU-MIMO perfo

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19

Daldoul, Yousri, Djamal-Eddine Meddour, and Adlen Ksentini. "Performance evaluation of OFDMA and MU-MIMO in 802.11ax networks." Computer Networks 182 (December 2020): 107477. http://dx.doi.org/10.1016/j.comnet.2020.107477.

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20

Kim, Daeun, Song-Nam Hong, and Namyoon Lee. "Supervised-Learning for Multi-Hop MU-MIMO Communications With One-Bit Transceivers." IEEE Journal on Selected Areas in Communications 37, no. 11 (2019): 2559–72. http://dx.doi.org/10.1109/jsac.2019.2933965.

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21

Zhang, Wenjian, and Senlin Jiang. "Effect of Node Mobility on MU-MIMO Transmissions in Mobile Ad Hoc Networks." Wireless Communications and Mobile Computing 2021 (May 3, 2021): 1–9. http://dx.doi.org/10.1155/2021/9954940.

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In this paper, we investigate the expected outage probability and expected throughput of a multi-user multiple-input multiple-output (MU-MIMO) transmission in mobile ad hoc networks (MANET) in the presence of co-channel interference and unpredictable inter-beam interference. In order to achieve multi-user diversity gain, the receiving nodes are required to report measured channel information to the transmitting node. During the time gap between channel measurement and data transmission, the channel may change with the location of moving nodes. The unpredictable behavior may cause a mismatch be

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22

Aggarwal, Shivang, Srisai Karthik Neelamraju, Ajit Bhat, and Dimitrios Koutsonikolas. "A Detailed Look at MIMO Performance in 60 GHz WLANs." Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, no. 2 (2022): 1–26. http://dx.doi.org/10.1145/3530904.

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One of the key enhancements in the upcoming 802.11ay standard for 60 GHz WLANs is the support for simultaneous transmissions of up to 8 data streams via SU- and MU-MIMO, which has the potential to enable data rates up to 100 Gbps. However, in spite of the key role MIMO is expected to play in 802.11ay, experimental evaluation of MIMO performance in 60 GHz WLANs has been limited to date, primarily due to lack of hardware supporting MIMO transmissions at millimeter wave frequencies. In this work, we fill this gap by conducting the first large-scale experimental evaluation of SU- and MU-MIMO perfo

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23

Aggarwal, Shivang, Srisai Karthik Neelamraju, Ajit Bhat, and Dimitrios Koutsonikolas. "A Detailed Look at MIMO Performance in 60 GHz WLANs." Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, no. 2 (2022): 1–26. http://dx.doi.org/10.1145/3530904.

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One of the key enhancements in the upcoming 802.11ay standard for 60 GHz WLANs is the support for simultaneous transmissions of up to 8 data streams via SU- and MU-MIMO, which has the potential to enable data rates up to 100 Gbps. However, in spite of the key role MIMO is expected to play in 802.11ay, experimental evaluation of MIMO performance in 60 GHz WLANs has been limited to date, primarily due to lack of hardware supporting MIMO transmissions at millimeter wave frequencies. In this work, we fill this gap by conducting the first large-scale experimental evaluation of SU- and MU-MIMO perfo

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24

Jeya, R., and B. Amutha. "Optimized semiblind sparse channel estimation algorithm for MU-MIMO OFDM system." Computer Communications 146 (October 2019): 103–9. http://dx.doi.org/10.1016/j.comcom.2019.07.018.

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25

Dursun, Yunus, Muhammed Burak Goktas, and Zhiguo Ding. "Green NOMA based MU-MIMO transmission for MEC in 6G Networks." Computer Networks 228 (June 2023): 109749. http://dx.doi.org/10.1016/j.comnet.2023.109749.

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26

Kelechi, Alsharif, Ramly, Abdullah, and Nordin. "The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review." Energies 12, no. 18 (2019): 3449. http://dx.doi.org/10.3390/en12183449.

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Network latency will be a critical performance metric for the Fifth Generation (5G) networks expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple-input multiple-output (MU-MIMO) technology is a key enabler for the 5G massive connectivity criterion, especially from the massive densification perspective. Naturally, it appears that 5G MU-MIMO will face a daunting task to achieve an end-to-end 1 ms ultra-low latency budget if traditional network set-ups criteria are strictly adhered to. Moreover, 5G latency will have added dimensions of scalability and flex

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27

Sangdeh, Pedram Kheirkhah, Hossein Pirayesh, Qiben Yan, and Huacheng Zeng. "DM-COM: Combining Device-to-Device and MU-MIMO Communications for Cellular Networks." IEEE Internet of Things Journal 8, no. 17 (2021): 13516–27. http://dx.doi.org/10.1109/jiot.2021.3066502.

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28

Zeng, Jie, Tiejun Lv, Ren Ping Liu, Xin Su, Y. Jay Guo, and Norman C. Beaulieu. "Enabling Ultrareliable and Low-Latency Communications Under Shadow Fading by Massive MU-MIMO." IEEE Internet of Things Journal 7, no. 1 (2020): 234–46. http://dx.doi.org/10.1109/jiot.2019.2945106.

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29

Panta, Jariya, Poompat Saengudomlert, and Karel L. Sterckx. "Efficient User Grouping for MU-MIMO Visible Light Communications Based on Block Diagonalization." ECTI Transactions on Electrical Engineering, Electronics, and Communications 20, no. 3 (2022): 329–38. http://dx.doi.org/10.37936/ecti-eec.2022203.247510.

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This paper investigates efficient user grouping methods for multi-user multi-input multi-output (MU-MIMO) visible light communication (VLC) systems. Block diagonalization (BD) precoding is considered for interference avoidance. In addition, time division multiplexing (TDM) is applied to perform user grouping when the number of users exceeds the limit of BD precoding based on the number of light emitting diode (LED) transmitters and the total number of users' photodiodes (PDs). User grouping methods are proposed based on pairwise interference considerations among users in the same group. The pr

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30

Kassa, Lemlem, Jianhua Deng, Mark Davis, and Jingye Cai. "Machine Learning based Frame Size Optimization in WLAN Downlink MU-MIMO Channel with the Least Cost of Delay." International journal of Computer Networks & Communications 14, no. 6 (2022): 01–19. http://dx.doi.org/10.5121/ijcnc.2022.14601.

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The key enhancement in the medium access control (MAC) layer is frame aggregation introduced by the IEEE 802.11n/ac standard to accommodate the growing traffic demand in the WLAN by allowing multiple packets aggregated per transmission. Frame aggregation efficiently reduces control overhead in the MAC layer, such as the MAC header and thus it helps to enhance transmission efficiency and throughput performance of WLAN. However, heterogeneous traffic demand among streams in the WLAN downlink MU-MIMO channel creates a challenge to efficiently utilize the benefits of frame aggregation. Transmissio

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31

Goutay, Mathieu, Faycal Ait Aoudia, Jakob Hoydis, and Jean-Marie Gorce. "Machine Learning for MU-MIMO Receive Processing in OFDM Systems." IEEE Journal on Selected Areas in Communications 39, no. 8 (2021): 2318–32. http://dx.doi.org/10.1109/jsac.2021.3087224.

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32

Su, Shi, Wai-Tian Tan, Xiaoqing Zhu, Rob Liston, Herb Wildfeuer, and Behnaam Aazhang. "Motion-Aware Optimizations for Downlink MU-MIMO in 802.11ax Networks." IEEE Transactions on Network and Service Management 18, no. 4 (2021): 4088–102. http://dx.doi.org/10.1109/tnsm.2021.3117596.

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33

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 (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 codeboo

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34

Zeng, Zhirong, Huiqin Du, and Zujian Wu. "Min-Max-MSE Transceiver Design for MU-MIMO VLC System." Wireless Communications and Mobile Computing 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/3080643.

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This paper considers a multiuser (MU) multiple-input multiple-output (MIMO) visible light communication (VLC) system with broadcast channels. Due to the simultaneous transmission of the different source data to the receivers covered with the light rays, the interuser interference (IUI) may degrade the system performance. We strive to suppress the IUI by minimizing the maximum mean square errors (MSE) under the assumption of the perfect knowledge of channel state information (CSI). However, since the CSI may not be perfectly known in practice, a robust design is required against the channel unc

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35

Castaneda, Oscar, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, and Christoph Studer. "Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication." IEEE Journal on Selected Areas in Communications 38, no. 9 (2020): 2128–41. http://dx.doi.org/10.1109/jsac.2020.3000840.

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36

Fang, Jian, Lei Wang, Zhenquan Qin, Jialin Liu, and Bingxian Lu. "GCC: Group-Based CSI Feedback Compression for MU-MIMO Networks." Mobile Networks and Applications 23, no. 3 (2018): 407–18. http://dx.doi.org/10.1007/s11036-018-1015-1.

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37

Zhang, Chuan, Jiejun Jin, Ye Xue, et al. "Efficient Pre-Conditioned Descent Search Detector for Massive MU-MIMO." IEEE Transactions on Vehicular Technology 69, no. 5 (2020): 4663–76. http://dx.doi.org/10.1109/tvt.2020.2975878.

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38

Jeon, Charles, Zequn Li, and Christoph Studer. "Approximate Gram-Matrix Interpolation for Wideband Massive MU-MIMO Systems." IEEE Transactions on Vehicular Technology 69, no. 5 (2020): 4677–88. http://dx.doi.org/10.1109/tvt.2020.2983025.

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39

Son, Hyukmin, Seonghyun Kim, and Sanghoon Lee. "Maximum SINR-Based Receive Combiner for Cognitive MU-MIMO Systems." IEEE Transactions on Vehicular Technology 64, no. 9 (2015): 4344–50. http://dx.doi.org/10.1109/tvt.2014.2366951.

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40

Yan, Li, Xuming Fang, and Cheng-Xiang Wang. "Position-Based Limited Feedback Scheme for Railway MU-MIMO Systems." IEEE Transactions on Vehicular Technology 65, no. 10 (2016): 8361–70. http://dx.doi.org/10.1109/tvt.2015.2511021.

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41

Aboutorab, Neda, Wibowo Hardjawana, and Branka Vucetic. "A New Resource Allocation Technique in MU-MIMO Relay Networks." IEEE Transactions on Vehicular Technology 60, no. 7 (2011): 3485–90. http://dx.doi.org/10.1109/tvt.2011.2160212.

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42

Khan, Imran, Mohammed H. Alsharif, Mohammad Haseeb Zafar, et al. "An Efficient Algorithm for mmWave MIMO Systems." Symmetry 11, no. 6 (2019): 786. http://dx.doi.org/10.3390/sym11060786.

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Efficient and Symmetry based precoding plays a key role in wireless communications. In order to improve the transmission performance of multi-user millimeter wave Multiple-Input Multiple-Output (MIMO) (MU-mmWave MIMO) systems, this paper proposes an analog precoding scheme for the receiver of mmWave MIMO with split sub-array hybrid analog and digital architecture. Then, we propose a hybrid analog and digital precoding algorithm based on channel reciprocity (APoCR) to maximize the spectral efficiency by utilizing the triple joint optimization problem, which can be divided into the analog and di

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LIU, Jingxiu, Xiaoming SHE, Lan CHEN, and Hidekazu TAOKA. "A Multi-Stage Hybrid Scheduler for Codebook-Based MU-MIMO System." IEICE Transactions on Communications E92-B, no. 6 (2009): 2303–7. http://dx.doi.org/10.1587/transcom.e92.b.2303.

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44

Zhou, Anfu, Teng Wei, Xinyu Zhang, and Huadong Ma. "Guidepost: Scalable MU-MIMO User Selection via Indirect Channel Orthogonality Evaluation." IEEE Transactions on Mobile Computing 18, no. 7 (2019): 1556–70. http://dx.doi.org/10.1109/tmc.2018.2857767.

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Wong, Wangkit, Kam-Wa Chau, and S. H. Gary Chan. "Joint Client Association and Random Access Control for MU-MIMO WLANs." IEEE Transactions on Mobile Computing 19, no. 12 (2020): 2818–32. http://dx.doi.org/10.1109/tmc.2019.2935197.

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Lukic, Djordje B., Goran B. Markovic, and Dejan D. Drajic. "Two-Stage Precoding Based on Overlapping User Grouping Approach in IoT-Oriented 5G MU-MIMO Systems." Wireless Communications and Mobile Computing 2021 (January 7, 2021): 1–13. http://dx.doi.org/10.1155/2021/8887445.

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Downlink transmission techniques for multiuser (MU) multiple-input multiple-output (MIMO) systems have been comprehensively studied during the last two decades. The well-known low complexity linear precoding schemes are currently deployed in long-term evolution (LTE) networks. However, these schemes exhibit serious shortcomings in scenarios when users’ channels are strongly correlated. The nonlinear precoding schemes show better performance, but their complexity is prohibitively high for a real-time implementation. Two-stage precoding schemes, proposed in the standardization process for 5G new

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47

Lukic, Djordje B., Goran B. Markovic, and Dejan D. Drajic. "Two-Stage Precoding Based on Overlapping User Grouping Approach in IoT-Oriented 5G MU-MIMO Systems." Wireless Communications and Mobile Computing 2021 (January 7, 2021): 1–13. http://dx.doi.org/10.1155/2021/8887445.

Full text

Abstract:

Downlink transmission techniques for multiuser (MU) multiple-input multiple-output (MIMO) systems have been comprehensively studied during the last two decades. The well-known low complexity linear precoding schemes are currently deployed in long-term evolution (LTE) networks. However, these schemes exhibit serious shortcomings in scenarios when users’ channels are strongly correlated. The nonlinear precoding schemes show better performance, but their complexity is prohibitively high for a real-time implementation. Two-stage precoding schemes, proposed in the standardization process for 5G new

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48

Zhang, Ding, Panneer Selvam Santhalingam, Parth Pathak, and Zizhan Zheng. "CoBF: Coordinated Beamforming in Dense mmWave Networks." ACM SIGMETRICS Performance Evaluation Review 51, no. 1 (2023): 105–6. http://dx.doi.org/10.1145/3606376.3593531.

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Abstract:

With MIMO and enhanced beamforming features, IEEE 802.11ay is poised to create the next generation of mmWave WLANs that can provide over 100 Gbps data rate. However, beamforming between densely deployed APs and clients incurs unacceptable overhead. On the other hand, the absence of up-to-date beamforming information restricts the diversity gains available through MIMO and multi-users, reducing the overall network capacity. This paper presents a novel approach of "coordinated beamforming" (called CoBF) where only a small subset of APs are selected for beamforming in the 802.11ay mmWave WLANs. B

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49

ZHAO, Long, Hui ZHAO, and Kan ZHENG. "Energy efficient power allocation strategy for downlink MU-MIMO with massive antennas." Journal of China Universities of Posts and Telecommunications 20, no. 3 (2013): 1–7. http://dx.doi.org/10.1016/s1005-8885(13)60040-0.

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50

Ma, Yi, Abderraouf Yamani, Na Yi, and Rahim Tafazolli. "Low-Complexity MU-MIMO Nonlinear Precoding Using Degree-2 Sparse Vector Perturbation." IEEE Journal on Selected Areas in Communications 34, no. 3 (2016): 497–509. http://dx.doi.org/10.1109/jsac.2016.2525378.

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