{"title":"RIS 辅助系统的覆盖面分析和部署设计","authors":"Ying Wang, Angran Liu, Yiyang Ni, Jie Zhao","doi":"10.1007/s11235-024-01107-8","DOIUrl":null,"url":null,"abstract":"<p>Reconfigurable intelligent surface (RIS) is a novel technology that can help enhance the wireless propagation environment by altering the electromagnetic properties of its massive low-cost passive reflecting elements. This paper aims to explore the mechanism of how the deployment of RIS influences cell coverage from the system level and to obtain valuable guidance for actual RIS deployment design. We derive the coverage area gain (CAG) brought by deploying RIS to the whole system and analyze how the deployment parameters influence performance. The results reveal that it is more favorable to deploy the RIS close to the base station (BS) to gain more long-range coverage, and the coverage area gain can keep approximately constant as long as the ratio of the RIS element number to the deployment distance (between the BS and the RIS) remains unchanged. The scaling law between the CAG and the ratio is obtained. Furthermore, we extend the analysis to the scenario with two RISs deployed and respectively derive the coverage area gains brought by the two RISs when they are symmetrically and vertically deployed. We find that the aforementioned ratio rule still holds here, and the vertical deployment can achieve higher CAG than the symmetric deployment.</p>","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":"1 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coverage analysis and deployment design of RIS-assisted systems\",\"authors\":\"Ying Wang, Angran Liu, Yiyang Ni, Jie Zhao\",\"doi\":\"10.1007/s11235-024-01107-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Reconfigurable intelligent surface (RIS) is a novel technology that can help enhance the wireless propagation environment by altering the electromagnetic properties of its massive low-cost passive reflecting elements. This paper aims to explore the mechanism of how the deployment of RIS influences cell coverage from the system level and to obtain valuable guidance for actual RIS deployment design. We derive the coverage area gain (CAG) brought by deploying RIS to the whole system and analyze how the deployment parameters influence performance. The results reveal that it is more favorable to deploy the RIS close to the base station (BS) to gain more long-range coverage, and the coverage area gain can keep approximately constant as long as the ratio of the RIS element number to the deployment distance (between the BS and the RIS) remains unchanged. The scaling law between the CAG and the ratio is obtained. Furthermore, we extend the analysis to the scenario with two RISs deployed and respectively derive the coverage area gains brought by the two RISs when they are symmetrically and vertically deployed. We find that the aforementioned ratio rule still holds here, and the vertical deployment can achieve higher CAG than the symmetric deployment.</p>\",\"PeriodicalId\":51194,\"journal\":{\"name\":\"Telecommunication Systems\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Telecommunication Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s11235-024-01107-8\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telecommunication Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11235-024-01107-8","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Coverage analysis and deployment design of RIS-assisted systems
Reconfigurable intelligent surface (RIS) is a novel technology that can help enhance the wireless propagation environment by altering the electromagnetic properties of its massive low-cost passive reflecting elements. This paper aims to explore the mechanism of how the deployment of RIS influences cell coverage from the system level and to obtain valuable guidance for actual RIS deployment design. We derive the coverage area gain (CAG) brought by deploying RIS to the whole system and analyze how the deployment parameters influence performance. The results reveal that it is more favorable to deploy the RIS close to the base station (BS) to gain more long-range coverage, and the coverage area gain can keep approximately constant as long as the ratio of the RIS element number to the deployment distance (between the BS and the RIS) remains unchanged. The scaling law between the CAG and the ratio is obtained. Furthermore, we extend the analysis to the scenario with two RISs deployed and respectively derive the coverage area gains brought by the two RISs when they are symmetrically and vertically deployed. We find that the aforementioned ratio rule still holds here, and the vertical deployment can achieve higher CAG than the symmetric deployment.
期刊介绍:
Telecommunication Systems is a journal covering all aspects of modeling, analysis, design and management of telecommunication systems. The journal publishes high quality articles dealing with the use of analytic and quantitative tools for the modeling, analysis, design and management of telecommunication systems covering:
Performance Evaluation of Wide Area and Local Networks;
Network Interconnection;
Wire, wireless, Adhoc, mobile networks;
Impact of New Services (economic and organizational impact);
Fiberoptics and photonic switching;
DSL, ADSL, cable TV and their impact;
Design and Analysis Issues in Metropolitan Area Networks;
Networking Protocols;
Dynamics and Capacity Expansion of Telecommunication Systems;
Multimedia Based Systems, Their Design Configuration and Impact;
Configuration of Distributed Systems;
Pricing for Networking and Telecommunication Services;
Performance Analysis of Local Area Networks;
Distributed Group Decision Support Systems;
Configuring Telecommunication Systems with Reliability and Availability;
Cost Benefit Analysis and Economic Impact of Telecommunication Systems;
Standardization and Regulatory Issues;
Security, Privacy and Encryption in Telecommunication Systems;
Cellular, Mobile and Satellite Based Systems.