{"title":"Game theory-based energy efficiency optimization in multi-user cognitive MIMO interference channel","authors":"Shujun Han, Yanhui Lu, Shou-yi Yang, X. Mu","doi":"10.1109/IEEE-IWS.2016.7585414","DOIUrl":null,"url":null,"abstract":"This paper models the optimization problem of energy efficiency (EE) in multi-user cognitive multi-input-multi-output (MIMO) interference channel (IC) as a non-cooperative game, where both the per-secondary user (SU) power constraints and total interference threshold is taken into consideration. Although optimization problem of EE is non-convex and multi-objective with multi-constraint fractional problem, we reformulate it as multi-objective with multi-constraint non-fractional problem equivalently. Furthermore, we formulate distributed iterative EE Optimization algorithm (DIEEOA) in multi-user cognitive MIMO IC to obtain the Nash Equilibrium. Through simulation, we validate the effectiveness of the prosed algorithm and discuss the parameters' effect on the EE.","PeriodicalId":185971,"journal":{"name":"2016 IEEE MTT-S International Wireless Symposium (IWS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE MTT-S International Wireless Symposium (IWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEE-IWS.2016.7585414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper models the optimization problem of energy efficiency (EE) in multi-user cognitive multi-input-multi-output (MIMO) interference channel (IC) as a non-cooperative game, where both the per-secondary user (SU) power constraints and total interference threshold is taken into consideration. Although optimization problem of EE is non-convex and multi-objective with multi-constraint fractional problem, we reformulate it as multi-objective with multi-constraint non-fractional problem equivalently. Furthermore, we formulate distributed iterative EE Optimization algorithm (DIEEOA) in multi-user cognitive MIMO IC to obtain the Nash Equilibrium. Through simulation, we validate the effectiveness of the prosed algorithm and discuss the parameters' effect on the EE.
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