Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading Processing-Reference-Cited by-同舟云学术

Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading Processing

Published:2023-12 Issue:12 Volume:22 Page:9374-9389
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Chen Shuaifei¹^ORCID,Zhang Jiayi¹^ORCID,Björnson Emil²^ORCID,Demir Özlem Tuğfe²^ORCID,Ai Bo³^ORCID

Affiliation:

1. School of Electronic and Information Engineering and Frontiers Science Center for Smart High-Speed Railway System, Beijing Jiaotong University, Beijing, China

2. Department of Computer Science, KTH Royal Institute of Technology, Kista, Sweden

3. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Natural Science Foundation of Jiangsu Province Major Project

Swedish Foundation for Strategic Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10354275/10113887.pdf?arnumber=10113887

Reference35 articles.

1. Sparse Large-Scale Fading Decoding in Cell-Free Massive MIMO Systems

2. Energy-efficient 5G for a greener future

3. Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency

4. Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas

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