A Deep Learning Method: QoS-Aware Joint AP Clustering and Beamforming Design for Cell-Free Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Deep Learning Method: QoS-Aware Joint AP Clustering and Beamforming Design for Cell-Free Networks

Published:2023-12 Issue:12 Volume:71 Page:7023-7038
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Chen Guanghui¹^ORCID,He Shiwen²^ORCID,An Zhenyu³^ORCID,Huang Yongming¹^ORCID,Yang Luxi¹^ORCID

Affiliation:

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

2. School of Software, Xinjiang University, Ürümqi, China

3. Purple Mountain Laboratories, Nanjing, China

Funder

National Key Research and Development Program

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10364892/10243550.pdf?arnumber=10243550

Reference42 articles.

1. Cell-Free Massive MIMO in the Short Blocklength Regime for URLLC

2. Cell-Free Massive MIMO Versus Small Cells

3. Cloud RAN for Mobile Networks—A Technology Overview

4. User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions

5. User-Heterogeneous Cell-Free Massive MIMO Downlink and Uplink Beamforming via Tensor Decomposition

Cited by 3 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. QACDes: QoS-aware context-sensitive design of cyber-physical systems;Scientific Reports;2024-08-16

2. An Efficient Architecture Search for Scalable Beamforming Design in Cell-Free Systems;IEEE Transactions on Vehicular Technology;2024-07

3. Joint Power Control and Pilot Assignment in Cell-Free Massive MIMO Using Deep Learning;IEEE Open Journal of the Communications Society;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3