Deep Reinforcement Learning-Based Coordinated Beamforming for mmWave Massive MIMO Vehicular Networks. [PDF]
Sensors (Basel), 2023 Tarafder P, Choi W.
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A Study on the Robustness of a DNN Under Scenario Shifts for Power Control in Cell-Free Massive MIMO. [PDF]
Sensors (Basel)García-Barrios G +2 more
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Μελέτη συστημάτων Massive MIMO
, 2015 The purpose of this dissertation is to study and evaluate the performance of a MU-MIMO system, in order to identify the advantages that this groundbreaking technology can offer. This dissertation presents a Monte Carlo simulation, that generates a random channel matrix for both uplink and downlink of a MU-MIMO system.The receivers used for this ...
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Near-Field Channel Parameter Estimation and Localization for mmWave Massive MIMO-OFDM ISAC Systems via Tensor Analysis. [PDF]
Sensors (Basel)Jiang L, Guan J, Du J, Jiang W, Cheng Y.
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Cross-correlation-based signal pruning method (CCSPM) for effective signal distortion reduction in massive MIMO communications. [PDF]
Sci RepKasiselvanathan M +5 more
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SIC based RL for massive MIMO NOMA signal detection for different modulation schemes under diverse channel conditions. [PDF]
Sci RepKumar A +3 more
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Spectral efficiency and BER analysis of RNN based hybrid precoding for cell free massive MIMO under terahertz communication. [PDF]
PLoS OneAbose TA +3 more
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Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems. [PDF]
Sensors (Basel)Haxhiraj E, Shahu D, Agastra E.
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Scalable Statistical Channel Estimation and Its Applications in User-Centric Cell-Free Massive MIMO Systems. [PDF]
Sensors (Basel)Xing L, Wang D, Zhang X, Wu H, Deng K.
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Robust rateless space time block coding for mmWave massive MIMO system. [PDF]
HeliyonKelem ZA, Hussein HM.
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