Jun Zong, Fuqian Yang, Yong Zhou, H. Qian, Xiliang Luo
{"title":"Optimal Configuration of Intelligent Walls for Interference Management in Smart Buildings","authors":"Jun Zong, Fuqian Yang, Yong Zhou, H. Qian, Xiliang Luo","doi":"10.1109/iccc52777.2021.9580397","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the optimal configuration of the intelligent walls (IW s) installed in smart buildings. In particular, by controlling the states of IW s, the indoor wireless propagation environment can be judiciously adjusted to maximize the system performance. Since the total number of feasible configuration patterns increases exponentially with the number of the IW s, it becomes impractical to search for the optimal configuration in an exhaustive way when the number of IWs gets large. To address such a problem, we first prove that the optimal system performance can be achieved by only exploiting a limited number of IW configuration patterns. Furthermore, we put forth one efficient algorithm of low complexity to identify the small set of optimal patterns. Numerical results are also provided to verify the proposed scheme.","PeriodicalId":425118,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccc52777.2021.9580397","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
In this paper, we investigate the optimal configuration of the intelligent walls (IW s) installed in smart buildings. In particular, by controlling the states of IW s, the indoor wireless propagation environment can be judiciously adjusted to maximize the system performance. Since the total number of feasible configuration patterns increases exponentially with the number of the IW s, it becomes impractical to search for the optimal configuration in an exhaustive way when the number of IWs gets large. To address such a problem, we first prove that the optimal system performance can be achieved by only exploiting a limited number of IW configuration patterns. Furthermore, we put forth one efficient algorithm of low complexity to identify the small set of optimal patterns. Numerical results are also provided to verify the proposed scheme.