A Deep Reinforcement Learning Scheme for Sum Rate and Fairness Maximization Among D2D Pairs Underlaying Cellular Network With NOMA
Author:
Affiliation:
1. School of Computer Science Engineering and Technology, Bennett University, Noida, India
2. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10287112/10129075.pdf?arnumber=10129075
Reference50 articles.
1. Partial-DF Full-Duplex D2D-NOMA Systems for IoT With/Without an Eavesdropper
2. Beamspace MIMO-NOMA for Millimeter-Wave Broadcasting via Full-Duplex D2D Communications
3. Resource Allocation for Heterogeneous Applications With Device-to-Device Communication Underlaying Cellular Networks
4. Resource Allocation for D2D Communications Underlay in Rayleigh Fading Channels
5. Energy Efficient Resource Allocation Algorithm in Energy Harvesting-Based D2D Heterogeneous Networks
Cited by 15 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 optimal resource assignment and mode selection for vehicular communication using proximal on-policy scheme;Alexandria Engineering Journal;2024-11
2. Joint Traffic Admission, Resource Allocation and Mode Selection Protocol for NOMA-Based D2D Users Underlaying Cellular Network for 5G and Beyond Networks;IEEE Transactions on Network Science and Engineering;2024-09
3. Computation Rate Maximization for SCMA-Aided Edge Computing in IoT Networks: A Multi-Agent Reinforcement Learning Approach;IEEE Transactions on Wireless Communications;2024-08
4. D2D Resource Allocation Optimization Algorithm Based on Deep Reinforcement Learning;2024 4th International Conference on Electronic Materials and Information Engineering (EMIE);2024-06-12
5. Incremental RBF-based cross-tier interference mitigation for resource-constrained dense IoT networks in 5G communication system;Heliyon;2024-06
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