{"title":"Achieving energy efficiency for Device to Device communications using power control: A low complexity algorithm","authors":"Mohamed Amine Charar, Z. Guennoun, G. Aniba","doi":"10.1109/SITA.2015.7358419","DOIUrl":null,"url":null,"abstract":"In this article we investigate energy efficient power control in the context of D2D (Device to Device) communications. An approach based on game theory is used to implement a fully distributed power control scheme. We propose a practical implementation of a low complexity power allocation algorithm that we compare with an existing NLP (Non Linear Programming) power allocation algorithm. Simulations results show that the proposed algorithm has near optimal performance and reduced computational complexity comparing to NLP algorithm.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITA.2015.7358419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this article we investigate energy efficient power control in the context of D2D (Device to Device) communications. An approach based on game theory is used to implement a fully distributed power control scheme. We propose a practical implementation of a low complexity power allocation algorithm that we compare with an existing NLP (Non Linear Programming) power allocation algorithm. Simulations results show that the proposed algorithm has near optimal performance and reduced computational complexity comparing to NLP algorithm.
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