E. Kenane, Fatima Zahra Fegriche, H. Bakhti, M. Bentoumi, F. Djahli
{"title":"An Adaptive Power Control Algorithm For 3G Cellular Networks","authors":"E. Kenane, Fatima Zahra Fegriche, H. Bakhti, M. Bentoumi, F. Djahli","doi":"10.1109/CCEE.2018.8634484","DOIUrl":null,"url":null,"abstract":"The main goal of the present paper is the study of transmitted power control (TPC) algorithms for mobile cellular systems (UMTS). A novel power control algorithm and some already existing ones have been studied focusing on resolving the near-far problem that affects the performance of the system a whole. Unlike the other existing power control algorithms, and besides the dynamic step size, our Modified Adaptive Power Control algorithm (MAPC) shows its uniqueness in the intelligence added to restrict the oscillations of the estimated signal to interference ratio (SIR) around its target value by using a stabilization zone. Simulations were carried out to evaluate the robustness of the novel algorithm. The results show that the proposed algorithm outperforms the other existing power control algorithms.","PeriodicalId":200936,"journal":{"name":"2018 International Conference on Communications and Electrical Engineering (ICCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Communications and Electrical Engineering (ICCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCEE.2018.8634484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The main goal of the present paper is the study of transmitted power control (TPC) algorithms for mobile cellular systems (UMTS). A novel power control algorithm and some already existing ones have been studied focusing on resolving the near-far problem that affects the performance of the system a whole. Unlike the other existing power control algorithms, and besides the dynamic step size, our Modified Adaptive Power Control algorithm (MAPC) shows its uniqueness in the intelligence added to restrict the oscillations of the estimated signal to interference ratio (SIR) around its target value by using a stabilization zone. Simulations were carried out to evaluate the robustness of the novel algorithm. The results show that the proposed algorithm outperforms the other existing power control algorithms.