A GNN Approach for Cell-Free Massive MIMO

Author:

Salaun Lou1,Yang Hong2,Mishra Shashwat1,Chen Chung Shue1

Affiliation:

1. Nokia Bell Labs,Nozay,France,91620

2. Nokia Bell Labs,Murray Hill,NJ,USA,07974

Publisher

IEEE

Reference24 articles.

1. Deep Learning Based Power Control for Cell-Free Massive MIMO with MRT

2. On implementing a primal-dual interior-point method for conic quadratic optimization

3. A scalable and energy efficient IoT system supported by cell-free massive MIMO;IEEE Internet of Things Journal,2021

4. Fast graph representation learning with PyTorch Geometric;fey;ICLR Workshop on Representation Learning on Graphs and Manifolds,0

5. The Graph Neural Network Model

Cited by 6 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. Graph Neural Network Aided Power Control in Partially Connected Cell-Free Massive MIMO;IEEE Transactions on Wireless Communications;2024-09

2. Energy-Efficient Power Allocation in Cell-Free Massive MIMO via Graph Neural Networks;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

3. Joint User Association and Power Control for Cell-Free Massive MIMO;IEEE Internet of Things Journal;2024-05-01

4. Interference management in 5G and beyond networks: A comprehensive survey;Computer Networks;2024-02

5. Power Control for 6G In-Factory Subnetworks With Partial Channel Information Using Graph Neural Networks;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