Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems

2020 ◽  
Author(s):  
Kareem M. Attiah ◽  
Foad Sohrabi ◽  
Wei Yu
Keyword(s):  
Deep Learning ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Learning Approach ◽  
Hybrid Precoding ◽  
Channel Sensing

Deep Learning Based Hybrid Precoding Technique for Millimeter-Wave Massive MIMO Systems

2021 ◽  
Author(s):  
Islam Osama ◽  
Mohamed Rihan ◽  
Mohamed Elhefnawy ◽  
Sami Eldolil
Keyword(s):  
Deep Learning ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding

scholarly journals AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems

2020 ◽  
Vol 9 (12) ◽  
pp. 2192-2196
Author(s):  
Yuyao Sun ◽  
Wei Xu ◽  
Lisheng Fan ◽  
Geoffrey Ye Li ◽  
George K. Karagiannidis
Keyword(s):  
Deep Learning ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Learning Approach

Deep Learning Based Downlink Channel Covariance Estimation for FDD Massive MIMO Systems

2021 ◽  
pp. 1-1
Author(s):  
Zou Linfu ◽  
Pan Zhiwen ◽  
Jiang Huilin ◽  
Liu Nan ◽  
You Xiaohu
Keyword(s):  
Deep Learning ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Covariance Estimation

scholarly journals Hybrid Precoding Design for Two-Way Relay-Assisted Terahertz Massive MIMO Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 222660-222671
Author(s):  
Talha Mir ◽  
Muhammad Waqas ◽  
Usama Mir ◽  
Syed Mudassir Hussain ◽  
Ahmet M. Elbir ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding

A Novel Compression CSI Feedback based on Deep Learning for FDD Massive MIMO Systems

2021 ◽  
Author(s):  
Yuting Wang ◽  
Yibin Zhang ◽  
Jinlong Sun ◽  
Guan Gui ◽  
Tomoaki Ohtsuki ◽  
...  
Keyword(s):  
Deep Learning ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Csi Feedback

Hybrid precoding for multiuser massive MIMO systems based on MMSE-PSO

2019 ◽  
Vol 26 (2) ◽  
pp. 1291-1299
Author(s):  
Rongling Jian ◽  
Yueyun Chen ◽  
Zhan Liu ◽  
Yanqing Xia
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Hybrid Precoding
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