{"title":"K-best branch and bound technique for the MINLP resource allocation in multi-user OFDM systems","authors":"Youssef Jaffal, Y. Nasser, Y. Corre, Y. Lostanlen","doi":"10.1109/SPAWC.2015.7227020","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a simplified approach for the Mixed Integer Non-linear Programming (MINLP) problem in the context of dynamic resource allocation for multiuser downlink Orthogonal Frequency Division Multiplexing (OFDM) systems. Our solution is based on the appropriate selection of the K-best branches of the branch and bound technique. The proposed algorithm significantly decreases the computational complexity of the conventional branch and bound technique, yet with a slight reduction in the average user throughput. Simulations results show that a trade-off between complexity decrease and performance reduction could be maintained with the proposed algorithm.","PeriodicalId":211324,"journal":{"name":"2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2015.7227020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we propose a simplified approach for the Mixed Integer Non-linear Programming (MINLP) problem in the context of dynamic resource allocation for multiuser downlink Orthogonal Frequency Division Multiplexing (OFDM) systems. Our solution is based on the appropriate selection of the K-best branches of the branch and bound technique. The proposed algorithm significantly decreases the computational complexity of the conventional branch and bound technique, yet with a slight reduction in the average user throughput. Simulations results show that a trade-off between complexity decrease and performance reduction could be maintained with the proposed algorithm.