{"title":"Distributed beam-forming and power control in multi-relay underlay cognitive radio networks: A game-theoretical approach","authors":"Alireza Louni, B. Khalaj","doi":"10.4108/ICST.CROWNCOM.2011.246000","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a power control algorithm incorporating distributed beam-forming via multi-relay structure with underlay cognitive radio architecture. This problem is modeled as a non-cooperative game and a novel distributed algorithm is designed to achieve Nash equilibrium (NE). At each iteration, power and beam forming weights are determined while quality of service (QoS) of primary and secondary users are guaranteed in terms of interference threshold and signal to interference and noise (SINR) threshold levels, respectively. Convergence of the proposed algorithm to a unique and sub-optimal fixed point for any given initial resource allocation has been proved. Numerical simulations demonstrate significant improvement in average rate of secondary users in comparison with single-relay algorithms.","PeriodicalId":249175,"journal":{"name":"2011 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.CROWNCOM.2011.246000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, we propose a power control algorithm incorporating distributed beam-forming via multi-relay structure with underlay cognitive radio architecture. This problem is modeled as a non-cooperative game and a novel distributed algorithm is designed to achieve Nash equilibrium (NE). At each iteration, power and beam forming weights are determined while quality of service (QoS) of primary and secondary users are guaranteed in terms of interference threshold and signal to interference and noise (SINR) threshold levels, respectively. Convergence of the proposed algorithm to a unique and sub-optimal fixed point for any given initial resource allocation has been proved. Numerical simulations demonstrate significant improvement in average rate of secondary users in comparison with single-relay algorithms.