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2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
for MIMO Systems in Dynamic Environments; TWC June 2020 3643-3657 Huang, C., see Yang, M., TWC Sept. 2020 5860-5874 Huang, D., Tao, X., Jiang, C., Cui, S., and Lu, J  ...  ., TWC Jan. 2020 650-664 Huang, A., see He, H., TWC Dec. 2020 7881-7896 Huang, C., Molisch, A.F., He, R., Wang, R., Tang, P., Ai, B., and Zhong, Z., Machine Learning-Enabled LOS/NLOS Identification  ...  ., +, Antenna Selection in Massive MIMO Based on Greedy Algorithms.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54

Table of contents

2019 IEEE Transactions on Wireless Communications  
Hui Chen, Xiaofeng Tao, Na Li, Yanzhao Hou, Jin Xu, and Zhu Han VLC and D2D Heterogeneous Network Optimization: A Reinforcement Learning Approach Based on Equilibrium Problems With Equilibrium Constraints  ...  Jahangir Hossain Intelligent MU-MIMO User Selection With Dynamic Link Adaptation in IEEE 802.11ax ................................ ........................................................  ... 
doi:10.1109/twc.2019.2896425 fatcat:vw74yvcqorek5efc4ee2nxhibq

2020 Index IEEE Journal on Selected Areas in Communications Vol. 38

2020 IEEE Journal on Selected Areas in Communications  
., +, J-SAC Sept. 2020 1941-1944 Antennas Addressing the Curse of Mobility in Massive MIMO With Prony-Based Angular-Delay Domain Channel Predictions.  ...  ., +, J-SAC May 2020 885-898 Resource Allocation Based on Deep Reinforcement Learning in IoT Edge Computing.  ...  Unsupervised learning Robust  ... 
doi:10.1109/jsac.2020.3040054 fatcat:amlms4xhs5a3hgnldh4bahb2wu

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2021 IEEE Transactions on Wireless Communications  
Reza Mosayebi, Mohammad Mahdi Mojahedian, and Angel Lozano 1544 An Approach to Preamble Collision Reduction in Grant-Free Random Access With Massive MIMO ....  ...  Shuowen Zhang and Rui Zhang 1975 A Compressive Sensing Approach for Federated Learning Over Massive MIMO Communication Systems ............ ..............................................  ... 
doi:10.1109/twc.2021.3056921 fatcat:jomcadm3izdixj5kmqyjmdbg3a

2021 Index IEEE Transactions on Wireless Communications Vol. 20

2021 IEEE Transactions on Wireless Communications  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  ., +, TWC Jan. 2021 96-109 Deep Learning-Based Antenna Selection and CSI Extrapolation in Massive MIMO Systems.  ... 
doi:10.1109/twc.2021.3135649 fatcat:bgd3vzb7pbee7jp75dnbucihmq

Table of contents

2020 IEEE Transactions on Communications  
Hanzo 4788 Downlink Spectral Efficiency of Cell-Free Massive MIMO Systems With Multi-Antenna Users ......................... ............................................................................  ...  Choi 4734 A Reinforcement Learning Framework for Optimizing Age of Information in RF-Powered Communication Systems ................................................................ M. A.  ... 
doi:10.1109/tcomm.2020.3012243 fatcat:gsfh4gdw7bhm3p3c2u7vg5iac4

User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions [article]

Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
2021 arXiv   pre-print
This survey paper investigates the emerging user-centric cell-free massive Multiple-input multiple-output (MIMO) network architecture that sets a foundation for future mobile networks.  ...  Most importantly, the user-centric approach eliminates cell edges, thus contributing to uniform coverage and performance for users across the network area.  ...  Lessons Learned Antenna calibration methods in user-centric cell-free settings is still not well studied.  ... 
arXiv:2104.14589v2 fatcat:z7janupib5cytnedsnst4f6uua

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2020 IEEE Transactions on Vehicular Technology  
Meng 11515 A Fully Distributed and Clustered Learning of Power Control in User-Centric Ultra-Dense HetNets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Armada 11281 FIT: On-the-Fly, In-Situ Training for SNR-Based Rate Selection. . . . . . . .H. Liu, J. He, S. Gupta, D. Rajan, and J.  ... 
doi:10.1109/tvt.2020.3027076 fatcat:xns72myvtfhgpjy622lpgmii3i

The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems

Lazaros Alexios Iliadis, Zaharias D. Zaharis, Sotirios Sotiroudis, Panagiotis Sarigiannidis, George K. Karagiannidis, Sotirios K. Goudos
2022 EURASIP Journal on Wireless Communications and Networking  
At this moment, Cell-free Massive MIMO (CF M-MIMO) technology seems to be the most promising idea in this direction.  ...  Deep Learning (DL) has been successfully employed to a wide range of problems in many different research areas, including wireless communications.  ...  The authors in [42] try to answer the following question: How does a wireless network support multiple FL groups?  ... 
doi:10.1186/s13638-022-02153-z fatcat:dv6ffvg3svcvpcw4s33cc72xm4

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2022 IEEE Transactions on Vehicular Technology  
Gursoy 1588 Massive MIMO Channels With Inter-User Angle Correlation: Open-Access Dataset, Analysis and Measurement-Based Validation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Fair Resource Allocation for User-Centric Networks . . . . . . . . . . . . . . . S. Wu, Y. Wei, S. Zhang, and W.  ... 
doi:10.1109/tvt.2022.3146184 fatcat:hhxbxepal5bbzatwlcaoyt6r5y

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
Revocable Data-Sharing Scheme in VANETs; TVT Dec. 2020 15933-15946 Hoseini, S.A., Ding, M., Hassan, M., and Chen, Y., Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency  ...  ., On the Performance of MIMO Full-Duplex Relaying System With SWIPT Under Outdated CSI; TVT Dec. 2020 15580-15593 Hodtani, G.A., see Gholami, R., TVT Sept. 2020 9938-9950 Hoki, K., see Kawakami, T  ...  ., +, TVT Aug. 2020 8065-8079 Efficient Low-Complexity Antenna Selection Algorithms in Multi-User Massive MIMO Systems With Matched Filter Precoding.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Low Altitude 3-D Coverage Performance Analysis in Cell-Free Distributed Collaborative Massive MIMO Systems [article]

Jiamin Li, Qijun Pan, Pengcheng Zhu, Dongming Wang, Xiaohu You
2022 arXiv   pre-print
To improve the poor performance of distributed operation and non-scalability of centralized operation in traditional cell-free massive MIMO, we propose a cell-free distributed collaborative (CFDC) massive  ...  estimation, user-centric association and different scalable receiving schemes.  ...  based on deep reinforcement learning.  ... 
arXiv:2206.13722v1 fatcat:2bfktepx4rg2hixxguscphfqcy

2021 Index IEEE Transactions on Vehicular Technology Vol. 70

2021 IEEE Transactions on Vehicular Technology  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  ., +, TVT Sept. 2021 9282-9293 Multi-Label Learning Based Antenna Selection in Massive MIMO Systems.  ... 
doi:10.1109/tvt.2022.3151213 fatcat:vzuzqu54irebpibzp3ykgy5nca

Spatio-Radio Resource Management and Hybrid Beamforming for Limited Feedback Massive MIMO Systems

Hedi Khammari, Irfan Ahmed, Ghulam Bhatti, Masoud Alajmi
2019 Electronics  
To reduce the channel state information (CSI) feedback of massive MIMO, we utilize the channel covariance-based RF precoding and beam selection.  ...  The columns of the analog beamforming matrix are selected based on the users' grouping performed by the K-mean unsupervised machine learning algorithm.  ...  The authors of [19] , suggest a learning-based antenna selection for massive MIMO systems. It uses a multiclass K-NN and support vector machine (SVM) for data-driven optimal antenna selection.  ... 
doi:10.3390/electronics8101061 fatcat:lqwxlclmizcphdhjxz56hdvyma

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2018 IEEE Transactions on Vehicular Technology  
Jiang 3028 How Many Antenna Arrays Are Dense Enough in Massive MIMO Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Choi 3361 Reinforcement Learning-Based NOMA Power Allocation in the Presence of Smart Jamming . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tvt.2018.2819519 fatcat:ndubrmb6bvhs5j4fi4g54s76pa
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