{"title":"基于 Tabu 的自适应大邻域搜索辅助不规则可重构智能表面能力提升","authors":"Songyue Yang, Zhiguo Sun, Rongchen Sun","doi":"10.1117/12.3032019","DOIUrl":null,"url":null,"abstract":"The development of 6G has led to the need for communication systems to realize low latency, high throughput and stable connectivity. To achieve these goals, Reconfigurable Intelligent Surface has emerged. However, for RIS with massive elements, the overhead caused by channel estimation and feedback is not negligible. In this article, we address this problem using irregular RIS, which essentially involves irregularly rationing a specified number of reflective elements on an RIS surface, by providing additional spatial degrees of freedom to achieve performance gains. To this end, we formulate the problem of joint topology and precoding matrix joint optimization with tabu-based adaptive large neighborhood search for channel capacity maximization.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tabu-based adaptive large neighborhood search aids irregular reconfigurable intelligent surface capacity enhancement\",\"authors\":\"Songyue Yang, Zhiguo Sun, Rongchen Sun\",\"doi\":\"10.1117/12.3032019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of 6G has led to the need for communication systems to realize low latency, high throughput and stable connectivity. To achieve these goals, Reconfigurable Intelligent Surface has emerged. However, for RIS with massive elements, the overhead caused by channel estimation and feedback is not negligible. In this article, we address this problem using irregular RIS, which essentially involves irregularly rationing a specified number of reflective elements on an RIS surface, by providing additional spatial degrees of freedom to achieve performance gains. To this end, we formulate the problem of joint topology and precoding matrix joint optimization with tabu-based adaptive large neighborhood search for channel capacity maximization.\",\"PeriodicalId\":342847,\"journal\":{\"name\":\"International Conference on Algorithms, Microchips and Network Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Algorithms, Microchips and Network Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3032019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Algorithms, Microchips and Network Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3032019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tabu-based adaptive large neighborhood search aids irregular reconfigurable intelligent surface capacity enhancement
The development of 6G has led to the need for communication systems to realize low latency, high throughput and stable connectivity. To achieve these goals, Reconfigurable Intelligent Surface has emerged. However, for RIS with massive elements, the overhead caused by channel estimation and feedback is not negligible. In this article, we address this problem using irregular RIS, which essentially involves irregularly rationing a specified number of reflective elements on an RIS surface, by providing additional spatial degrees of freedom to achieve performance gains. To this end, we formulate the problem of joint topology and precoding matrix joint optimization with tabu-based adaptive large neighborhood search for channel capacity maximization.