Learning to Beamform in Joint Multicast and Unicast Transmission With Imperfect CSI-Reference-Cited by-同舟云学术

Learning to Beamform in Joint Multicast and Unicast Transmission With Imperfect CSI

Published:2023-05 Issue:5 Volume:71 Page:2711-2723
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Zhang Zhe¹^ORCID,Tao Meixia¹^ORCID,Liu Ya-Feng²^ORCID

Affiliation:

1. Department of Electronic Engineering, Cooperative Medianet Innovation Center (CMIC), Shanghai Jiao Tong University, Shanghai, China

2. State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

Funder

National Key R&D Project of China

Fundamental Research Funds for the Central Universities of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10128759/10058567.pdf?arnumber=10058567

Reference43 articles.

1. A Very Brief Introduction to Machine Learning With Applications to Communication Systems

2. Robust Group Sparse Beamforming for Multicast Green Cloud-RAN With Imperfect CSI

3. Model-Free Training of End-to-End Communication Systems

4. Efficient Solutions for Weighted Sum Rate Maximization in Multicellular Networks With Channel Uncertainties

5. Towards Optimal Power Control via Ensembling Deep Neural Networks

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