{"title":"Utility-Based Energy-Efficient Power Control for Multi-Carrier DS/CDMA","authors":"Lin Fang, R. de Figueiredo","doi":"10.1109/ISWPC.2007.342617","DOIUrl":null,"url":null,"abstract":"In this paper, based on the Nash game theory, we first propose a non-cooperative power control game for MC-DS/CDMA systems. Then, we present an ameliorated power control solution by introducing a pricing strategy to improve the overall quality of service (QoS) of the entire system. Compared to previous pricing strategies, our pricing scheme aims at increasing the entire system utility rather than individual utility to ensure that each player adopts a social behavior. Moreover, it does not require tuning or training procedures to avoid large computational complexity. Therefore, our approach forces each user to share efficiently rather than seek aggressively the system resources. Computer simulation results show that the proposed approach achieves a significant improvement in the total system utility, and it is useful in combating multiple access interference (MAI) and additive white Gaussian noise (AWGN) power to maintain satisfactory performance","PeriodicalId":403213,"journal":{"name":"2007 2nd International Symposium on Wireless Pervasive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Symposium on Wireless Pervasive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWPC.2007.342617","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, based on the Nash game theory, we first propose a non-cooperative power control game for MC-DS/CDMA systems. Then, we present an ameliorated power control solution by introducing a pricing strategy to improve the overall quality of service (QoS) of the entire system. Compared to previous pricing strategies, our pricing scheme aims at increasing the entire system utility rather than individual utility to ensure that each player adopts a social behavior. Moreover, it does not require tuning or training procedures to avoid large computational complexity. Therefore, our approach forces each user to share efficiently rather than seek aggressively the system resources. Computer simulation results show that the proposed approach achieves a significant improvement in the total system utility, and it is useful in combating multiple access interference (MAI) and additive white Gaussian noise (AWGN) power to maintain satisfactory performance