Joint User Scheduling, Base Station Clustering, and Beamforming Design Based on Deep Unfolding Technique-Reference-Cited by-同舟云学术

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Joint User Scheduling, Base Station Clustering, and Beamforming Design Based on Deep Unfolding Technique

Published:2023-10 Issue:10 Volume:71 Page:5831-5845
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Xu Chunmei¹,Jia Yuanqi¹,He Shiwen²^ORCID,Huang Yongming¹^ORCID,Niyato Dusit³^ORCID

Affiliation:

1. National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China

2. Purple Mountain Laboratories, Nanjing, China

3. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10286985/10184999.pdf?arnumber=10184999

Reference40 articles.

1. Joint Optimization of Analog Beam and User Scheduling for Millimeter Wave Communications

2. Deep Weighted MMSE Downlink Beamforming

3. Multicell Coordinated Scheduling With Multiuser Zero-Forcing Beamforming

4. A Model-Driven Deep Learning Network for MIMO Detection

5. Networked MIMO with clustered linear precoding

Cited by 4 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. An Efficient Hierarchical User Grouping and Successive Group Search Approximation Based Beam-Forming Method for IRS-Aided Millimeter-Wave Networks with NOMA;Wireless Personal Communications;2024-08-21

2. Asynchronous Interference Cancelations for Energy-Efficient Clustering in Ultradensely Cellular Networks;IEEE Internet of Things Journal;2024-08-01

3. Joint Long-Term User Scheduling and Beamforming Design for Burst IIoT;IEEE Internet of Things Journal;2024-06-15

4. Privacy-Preserving Serverless Federated Learning Scheme for Internet of Things;IEEE Internet of Things Journal;2024-06-15

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