{"title":"Adaptive power control algorithms in underwater wireless optical CDMA cellular networks","authors":"Navid Banihassan, F. Akhoundi, J. Salehi","doi":"10.1109/IWOW.2015.7342276","DOIUrl":null,"url":null,"abstract":"In this paper we introduce two adaptive power control algorithms for downlink of underwater wireless optical cellular networks. The first approach is based on the angle of user's position with respect to optical base transceiver station (OBTS) of the cell. The second scheme works according to the link distance between the user and the OBTS. Defining an optimization problem, we aim to guaranty the quality of service for each user while minimizing the transmitting power. In our methods, we utilize limited feedback channel state information (CSI) so that the algorithm could be implemented with low complexity. The simulation results for different water types demonstrate that our proposed algorithms outperform the non-adaptive scheme.","PeriodicalId":247164,"journal":{"name":"2015 4th International Workshop on Optical Wireless Communications (IWOW)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 4th International Workshop on Optical Wireless Communications (IWOW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWOW.2015.7342276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper we introduce two adaptive power control algorithms for downlink of underwater wireless optical cellular networks. The first approach is based on the angle of user's position with respect to optical base transceiver station (OBTS) of the cell. The second scheme works according to the link distance between the user and the OBTS. Defining an optimization problem, we aim to guaranty the quality of service for each user while minimizing the transmitting power. In our methods, we utilize limited feedback channel state information (CSI) so that the algorithm could be implemented with low complexity. The simulation results for different water types demonstrate that our proposed algorithms outperform the non-adaptive scheme.