Learning to Compute Ergodic Rate for Multi-Cell Scheduling in Massive MIMO-Reference-Cited by-同舟云学术

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Learning to Compute Ergodic Rate for Multi-Cell Scheduling in Massive MIMO

Published:2021-02 Issue:2 Volume:20 Page:785-797
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Shi Junchao¹^ORCID,Wang Wenjin¹^ORCID,Yi Xinping²^ORCID,Wang Jiaheng¹^ORCID,Gao Xiqi¹^ORCID,Liu Qing³,Li Geoffrey Ye⁴^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

2. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.

3. Huawei Technologies Company Ltd., Shanghai, China

4. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

National Key Research and Development Program of China

Jiangsu Province Basic Research Project

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/9352576/09219163.pdf?arnumber=9219163

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning assisted delay minimization in full duplex energy constrained cooperative communication network;Ad Hoc Networks;2023-10

2. Joint Learning and Optimization-Based Resource Management in Hybrid Network of Cooperative and Non-Cooperative Massive MIMO Systems;IEEE Transactions on Vehicular Technology;2023-09

3. Robust WMMSE Precoder With Deep Learning Design for Massive MIMO;IEEE Transactions on Communications;2023-07

4. Low‐complexity user scheduling for LEO satellite communications;IET Communications;2023-05-30

5. Learning to Predict and Optimize Imperfect MIMO System Performance: Framework and Application;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04

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