{"title":"Full-filling algorithm for power allocation in OFDM-based cognitive radio systems","authors":"Hieu Nguyen, Y. Guan, L. Tuan","doi":"10.1109/ICICS.2013.6782896","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a sub-optimal technique to solve problem of power allocation in cognitive radio (CR) OFDM-based system. This technique called full-filling based on windowing the CR user's signal and maximizing the power allocation at good sub-carrier positions of CR user. Thank to the interference reduction of windowing technique, the complexity of power allocation optimization problem with burden of computation can be reduced by using full-filling power allocation. The simulation results show that full-filling method outperforms the previous methods such as uniform allocation and interference inversion allocation. In the high tolerable interference range to primary user, full-filling method can achieve the optimal capacity performance.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th International Conference on Information, Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICS.2013.6782896","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 paper, we propose a sub-optimal technique to solve problem of power allocation in cognitive radio (CR) OFDM-based system. This technique called full-filling based on windowing the CR user's signal and maximizing the power allocation at good sub-carrier positions of CR user. Thank to the interference reduction of windowing technique, the complexity of power allocation optimization problem with burden of computation can be reduced by using full-filling power allocation. The simulation results show that full-filling method outperforms the previous methods such as uniform allocation and interference inversion allocation. In the high tolerable interference range to primary user, full-filling method can achieve the optimal capacity performance.