{"title":"Resource Allocation in Reconfigurable Intelligent Surfaces with Imperfect Phase Compensation","authors":"Swaraj Srivastava, Yoghitha Ramamoorthi, Abhinav Kumar, T. Murakami, Tomoki Ogawa, Yasushi Takatori","doi":"10.1109/COMSNETS59351.2024.10427188","DOIUrl":null,"url":null,"abstract":"Reconfigurable Intelligent Surfaces (RISs) are acknowledged as key technologies for the upcoming sixth generation (6G) of mobile communication networks. The performance of the RIS systems heavily relies on the accuracy of phase compensation, which is often imperfect in practical scenarios. In this poster, we analyze the performance of RIS systems by allocating the fraction of total elements within the RIS used for a particular user, taking into account this imperfect phase compensation (IPC). We then derive a lower bound on the element allocation factor required for a user to achieve higher data rates when compared to benchmark scenario (without RIS). Additionally, we establish an upper bound on the IPC to assess in advance whether this system can provide higher spectral efficiency in comparison to the benchmark system. Furthermore, we demonstrate a trade-off between the IPC and the fraction of elements of RIS utilized by a user to obtain a specific data rate.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"174 1","pages":"594-597"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS59351.2024.10427188","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
Reconfigurable Intelligent Surfaces (RISs) are acknowledged as key technologies for the upcoming sixth generation (6G) of mobile communication networks. The performance of the RIS systems heavily relies on the accuracy of phase compensation, which is often imperfect in practical scenarios. In this poster, we analyze the performance of RIS systems by allocating the fraction of total elements within the RIS used for a particular user, taking into account this imperfect phase compensation (IPC). We then derive a lower bound on the element allocation factor required for a user to achieve higher data rates when compared to benchmark scenario (without RIS). Additionally, we establish an upper bound on the IPC to assess in advance whether this system can provide higher spectral efficiency in comparison to the benchmark system. Furthermore, we demonstrate a trade-off between the IPC and the fraction of elements of RIS utilized by a user to obtain a specific data rate.