Joint Learning of Channel Estimation and Beamforming for Cell-Free Massive MIMO Systems-Reference-Cited by-同舟云学术

Joint Learning of Channel Estimation and Beamforming for Cell-Free Massive MIMO Systems

Published:2024-05 Issue:5 Volume:13 Page:1359-1363
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Chen Yijie¹^ORCID,Xia Wenchao¹^ORCID,Zhang Jun¹^ORCID,Zhu Yongxu²^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Wireless Communications and the Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Department of Electrical and Electronic Engineering, University of Warwick, Coventry, U.K

Funder

National Natural Science Foundation of China

Jiangsu Provincial Key Research and Development Program

Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu

Young Elite Scientists Sponsorship Program

CAST

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962382/10527218/10449720.pdf?arnumber=10449720

Reference16 articles.

1. Cell-Free Massive MIMO for 6G Wireless Communication Networks

2. Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels With Compressing Relays

3. Joint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks

4. Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems With Implicit CSI

5. Deep Reinforcement Learning Based End-to-End Multiuser Channel Prediction and Beamforming