{"title":"基于次优算法的无线通信系统功率控制","authors":"Jing Gao, Jinkuan Wang, Bin Wang","doi":"10.1109/ICIST.2014.6920543","DOIUrl":null,"url":null,"abstract":"One of the key technologies of orthogonal frequency division multiplexing (OFDM) systems is its large peak to average power ratio (PAPR) of the channel signals. Partial transmit sequences (PTS) is a kind of promising method that improves PAPR performance effectively with not distortion processing, the complexity of PTS algorithm increases quickly with the divided number of signal blocks. Therefore, a novel sub-optimal algorithm is proposed to reduce computational complexity in this paper, which use the bacterial foraging optimization to realize the search process of optimal phase factors. Simulation results demonstrate that the proposed method can obtain better balance between PAPR performance and computational complexity.","PeriodicalId":306383,"journal":{"name":"2014 4th IEEE International Conference on Information Science and Technology","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power control with suboptimal algorithm for wireless communication systems\",\"authors\":\"Jing Gao, Jinkuan Wang, Bin Wang\",\"doi\":\"10.1109/ICIST.2014.6920543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the key technologies of orthogonal frequency division multiplexing (OFDM) systems is its large peak to average power ratio (PAPR) of the channel signals. Partial transmit sequences (PTS) is a kind of promising method that improves PAPR performance effectively with not distortion processing, the complexity of PTS algorithm increases quickly with the divided number of signal blocks. Therefore, a novel sub-optimal algorithm is proposed to reduce computational complexity in this paper, which use the bacterial foraging optimization to realize the search process of optimal phase factors. Simulation results demonstrate that the proposed method can obtain better balance between PAPR performance and computational complexity.\",\"PeriodicalId\":306383,\"journal\":{\"name\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIST.2014.6920543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 4th IEEE International Conference on Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2014.6920543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power control with suboptimal algorithm for wireless communication systems
One of the key technologies of orthogonal frequency division multiplexing (OFDM) systems is its large peak to average power ratio (PAPR) of the channel signals. Partial transmit sequences (PTS) is a kind of promising method that improves PAPR performance effectively with not distortion processing, the complexity of PTS algorithm increases quickly with the divided number of signal blocks. Therefore, a novel sub-optimal algorithm is proposed to reduce computational complexity in this paper, which use the bacterial foraging optimization to realize the search process of optimal phase factors. Simulation results demonstrate that the proposed method can obtain better balance between PAPR performance and computational complexity.
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