Hongchao Chen, Simeng Xu, Jiajia Wang, Meifang Jing, Yuhan Hu, Yi Zhao, Xiaohui Yang
{"title":"基于不完美CSI的智能反射面辅助MISO系统设计","authors":"Hongchao Chen, Simeng Xu, Jiajia Wang, Meifang Jing, Yuhan Hu, Yi Zhao, Xiaohui Yang","doi":"10.1109/VTC2022-Fall57202.2022.10013072","DOIUrl":null,"url":null,"abstract":"This paper investigates the optimization of phase shifts at intelligent reflecting surface (IRS)-assisted multiple input single output (MISO) systems with imperfect channel state information (CSI). By utilizing the channel statistical expressions, a closed-form ergodic achievable rate expression is derived by considering channel estimation errors of the base station (BS)-user channel, BS-IRS channel and IRS-user channel for semi-passive IRS systems in which only a portion of all IRS elements has been equipped with active sensors. We further propose to apply the genetic algorithm to tackle the system ergodic achievable rate maximization problem. Simulation results show the effectiveness of our proposed scheme.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Imperfect CSI Based Design for Intelligent Reflecting Surface Assisted MISO Systems\",\"authors\":\"Hongchao Chen, Simeng Xu, Jiajia Wang, Meifang Jing, Yuhan Hu, Yi Zhao, Xiaohui Yang\",\"doi\":\"10.1109/VTC2022-Fall57202.2022.10013072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the optimization of phase shifts at intelligent reflecting surface (IRS)-assisted multiple input single output (MISO) systems with imperfect channel state information (CSI). By utilizing the channel statistical expressions, a closed-form ergodic achievable rate expression is derived by considering channel estimation errors of the base station (BS)-user channel, BS-IRS channel and IRS-user channel for semi-passive IRS systems in which only a portion of all IRS elements has been equipped with active sensors. We further propose to apply the genetic algorithm to tackle the system ergodic achievable rate maximization problem. Simulation results show the effectiveness of our proposed scheme.\",\"PeriodicalId\":326047,\"journal\":{\"name\":\"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Imperfect CSI Based Design for Intelligent Reflecting Surface Assisted MISO Systems
This paper investigates the optimization of phase shifts at intelligent reflecting surface (IRS)-assisted multiple input single output (MISO) systems with imperfect channel state information (CSI). By utilizing the channel statistical expressions, a closed-form ergodic achievable rate expression is derived by considering channel estimation errors of the base station (BS)-user channel, BS-IRS channel and IRS-user channel for semi-passive IRS systems in which only a portion of all IRS elements has been equipped with active sensors. We further propose to apply the genetic algorithm to tackle the system ergodic achievable rate maximization problem. Simulation results show the effectiveness of our proposed scheme.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
