An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks
Author:
Affiliation:
1. School of Computer Science and Engineering, Central South University, Changsha, China
2. Purple Mountain Laboratories, Nanjing, China
3. Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program
Open Research Fund of National Mobile Communications Research Laboratory Southeast University
OPPO Research Fund
Major Key Project of Peng Cheng Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/9915540/09760257.pdf?arnumber=9760257
Reference32 articles.
1. Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
2. Multi-task learning using uncertainty to weigh losses for scene geometry and semantics;kendall;Proc IEEE Conf Comput Vis Pattern Recognit,2018
3. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014
4. A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer
5. Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network
Cited by 8 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. GNN-Enabled Max-Min Fair Beamforming;IEEE Transactions on Vehicular Technology;2024-08
2. GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks;IEEE Transactions on Wireless Communications;2024-08
3. A Deep Learning Method: QoS-Aware Joint AP Clustering and Beamforming Design for Cell-Free Networks;IEEE Transactions on Communications;2023-12
4. Deep Learning for Radar Waveform Design: Retrospectives and the Road Ahead;2023 IEEE International Radar Conference (RADAR);2023-11-06
5. Unsupervised Deep Unfolded PGD for Transmit Power Allocation in Wireless Systems;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05
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