QSPCA: A Two-Stage Efficient Power Control Approach in D2D Communication for 5G Networks
Author:
Affiliation:
1. Wireless Sensor Network Lab, National Institute of Technology Patna,Department of Electronics and Communication Engineering,Patna,India,800005
2. Trakya University,Department of Electrical-Electronics Engineering,Edirne,Turkey,22030
Funder
Science and Engineering Research Board (SERB-DST), Govt. of India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Link
http://xplorestaging.ieee.org/ielx7/9195266/9733244/09733300.pdf?arnumber=9733300
Reference21 articles.
1. A Machine Learning Approach to Enhance the Performance of D2D-Enabled Clustered Networks
2. Q-learning based power control algorithm for D2D communication
3. An Adaptive Protection of Flooding Attacks Model for Complex Network Environments
4. Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
5. Smart Mode Selection Using Online Reinforcement Learning for VR Broadband Broadcasting in D2D Assisted 5G HetNets
Cited by 7 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. Optimum resource allocation for D2D-assisted wireless network in industrial internet of things: a hypergraph-based clique algorithm;Wireless Networks;2024-01-19
2. Optimal D2D power for secure D2D communication with random eavesdropper in 5G‐IoT networks;Concurrency and Computation: Practice and Experience;2023-12-15
3. Future Communication Systems: Toward the Intelligent-based Optimization Approaches;2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM);2023-10-26
4. Efficient resource allocation with dynamic traffic arrivals on D2D communication for beyond 5G networks;Cluster Computing;2023-08-15
5. Multi-features fusion for short-term photovoltaic power prediction;Intelligent and Converged Networks;2022-12
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