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Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent
  Deep Reinforcement Learning

Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning

IEEE Wireless Communications Letters (WCL), 2021
1 February 2021
Qisheng Wang
Xiao Li
Shi Jin
Yijian Chen
ArXiv (abs)PDFHTML

Papers citing "Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning"

3 / 3 papers shown
Deep Reinforcement Learning in mmW-NOMA: Joint Power Allocation and
  Hybrid Beamforming
Deep Reinforcement Learning in mmW-NOMA: Joint Power Allocation and Hybrid Beamforming
Abbas Akbarpour-Kasgari
M. Ardebilipour
131
4
0
13 May 2022
Joint Power Allocation and Beamformer for mmW-NOMA Downlink Systems by
  Deep Reinforcement Learning
Joint Power Allocation and Beamformer for mmW-NOMA Downlink Systems by Deep Reinforcement Learning
Abbas Akbarpour-Kasgari
M. Ardebilipour
82
1
0
13 May 2022
Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment
Deep Reinforcement Learning based Blind mmWave MIMO Beam AlignmentIEEE Transactions on Wireless Communications (TWC), 2020
Vishnu Raj
Nancy Nayak
Sheetal Kalyani
209
38
0
25 Jan 2020
1
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