{"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}
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.