D2D网络中基于能效优化的功率控制策略

Gou Lisha, Xu Yan, Yue Chunyan
{"title":"D2D网络中基于能效优化的功率控制策略","authors":"Gou Lisha, Xu Yan, Yue Chunyan","doi":"10.1109/icvris51417.2020.00197","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of Device-to-Device (D2D) users sharing the spectrum resources of the cellular network, a power control strategy is proposed due to the problem of impaired energy efficiency of the D2D network caused by improper transmission power. With the goal of maximizing the energy efficiency of the D2D network, the D2D user transmission rate is combined with the terminal battery energy to establish a cooperative game model under the constraints of the interference threshold, the D2D user as a player dynamically adjusts the transmission power according to the mutual interference energy, at the same time introducing weighting factor structure of the utility function, the appropriate weighting factor is selected through simulation and the existence and uniqueness of the Nash equilibrium solution of the cooperative game model are proved. Finally, through repeated iterations, the optimal transmission power of the user when the energy efficiency of the D2D network is maximum is obtained. Simulation shows that the algorithm in this paper can effectively suppress interference, extend the battery life of D2D user terminals, and achieve higher network utility.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Power control strategy based on energy efficiency optimization in D2D network\",\"authors\":\"Gou Lisha, Xu Yan, Yue Chunyan\",\"doi\":\"10.1109/icvris51417.2020.00197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem of Device-to-Device (D2D) users sharing the spectrum resources of the cellular network, a power control strategy is proposed due to the problem of impaired energy efficiency of the D2D network caused by improper transmission power. With the goal of maximizing the energy efficiency of the D2D network, the D2D user transmission rate is combined with the terminal battery energy to establish a cooperative game model under the constraints of the interference threshold, the D2D user as a player dynamically adjusts the transmission power according to the mutual interference energy, at the same time introducing weighting factor structure of the utility function, the appropriate weighting factor is selected through simulation and the existence and uniqueness of the Nash equilibrium solution of the cooperative game model are proved. Finally, through repeated iterations, the optimal transmission power of the user when the energy efficiency of the D2D network is maximum is obtained. Simulation shows that the algorithm in this paper can effectively suppress interference, extend the battery life of D2D user terminals, and achieve higher network utility.\",\"PeriodicalId\":162549,\"journal\":{\"name\":\"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icvris51417.2020.00197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icvris51417.2020.00197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

针对设备对设备(Device-to-Device, D2D)用户共享蜂窝网络频谱资源的问题,针对D2D网络传输功率不合理导致的能量效率降低的问题,提出了一种功率控制策略。以D2D网络能量效率最大化为目标,在干扰阈值约束下,将D2D用户传输速率与终端电池能量相结合,建立合作博弈模型,D2D用户作为参与者根据相互干扰能量动态调整传输功率,同时引入效用函数的加权因子结构;通过仿真选择合适的权重因子,证明了合作博弈模型纳什均衡解的存在唯一性。最后,通过反复迭代得到D2D网络能量效率最大时用户的最优传输功率。仿真结果表明,本文算法能够有效抑制干扰,延长D2D用户终端的电池寿命,实现更高的网络效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power control strategy based on energy efficiency optimization in D2D network
Aiming at the problem of Device-to-Device (D2D) users sharing the spectrum resources of the cellular network, a power control strategy is proposed due to the problem of impaired energy efficiency of the D2D network caused by improper transmission power. With the goal of maximizing the energy efficiency of the D2D network, the D2D user transmission rate is combined with the terminal battery energy to establish a cooperative game model under the constraints of the interference threshold, the D2D user as a player dynamically adjusts the transmission power according to the mutual interference energy, at the same time introducing weighting factor structure of the utility function, the appropriate weighting factor is selected through simulation and the existence and uniqueness of the Nash equilibrium solution of the cooperative game model are proved. Finally, through repeated iterations, the optimal transmission power of the user when the energy efficiency of the D2D network is maximum is obtained. Simulation shows that the algorithm in this paper can effectively suppress interference, extend the battery life of D2D user terminals, and achieve higher network utility.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信