{"title":"Dynamic User-Centric Clustering Design for Combined Transmission in Downlink LiFi System","authors":"Weibin Ma, Lin Zhang, Furong Fang, Jing Bian","doi":"10.1109/VTCFall.2019.8890975","DOIUrl":null,"url":null,"abstract":"Light fidelity (LiFi) provides a promising solution for indoor high-speed wireless transmissions. However, the dense deployment of access points (APs) and the unity frequency reuse in LiFi system may induce the inter-cell interference (ICI) issue. In this paper, we consider the combined transmission (CT) which converts harmful interference to useful signals and thereby combats the ICI, and propose a dynamic user-centric clustering scheme for the downlink LiFi system. In our design, with the objective of maximizing the system throughput under proportional fairness constraints, the CT clustering is formulated as a mixed-integer non- linear programming (MINLP) problem. Then we set up an exact potential game (EPG) model, where the Nash equilibrium is found via the best response algorithm, to provide a suboptimal solution to the MINLP problem. Simulation results demonstrate that the LiFi system using our presented scheme exhibits a higher throughput and a better satisfaction degree than that employing the single-point transmission (SPT) scheme.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"82 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2019.8890975","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
Light fidelity (LiFi) provides a promising solution for indoor high-speed wireless transmissions. However, the dense deployment of access points (APs) and the unity frequency reuse in LiFi system may induce the inter-cell interference (ICI) issue. In this paper, we consider the combined transmission (CT) which converts harmful interference to useful signals and thereby combats the ICI, and propose a dynamic user-centric clustering scheme for the downlink LiFi system. In our design, with the objective of maximizing the system throughput under proportional fairness constraints, the CT clustering is formulated as a mixed-integer non- linear programming (MINLP) problem. Then we set up an exact potential game (EPG) model, where the Nash equilibrium is found via the best response algorithm, to provide a suboptimal solution to the MINLP problem. Simulation results demonstrate that the LiFi system using our presented scheme exhibits a higher throughput and a better satisfaction degree than that employing the single-point transmission (SPT) scheme.