{"title":"基于透明 RIS 的主动 RIS 辅助毫米波室内信号增强技术","authors":"Hao Feng;Yuping Zhao","doi":"10.1109/TGCN.2024.3401192","DOIUrl":null,"url":null,"abstract":"Due to the substantial path loss inherent to millimeter-wave (mmWave) frequencies, the signal sent by the outdoor base station is seriously attenuated when it reaches the indoors. Recent research has introduced a glass-based metasurface to enhance mmWave signals in indoor settings. While a transparent reconfigurable intelligent surface (RIS) can focus signals in specific areas, achieving ideal coverage is hindered by constraints such as building structures. To address this limitation, we propose a novel RIS-assisted mmWave indoor enhancement scheme in which a transparent RIS is deployed on the glass, and a reflection RIS is introduced to enhance signal connectivity, ensuring mmWave coverage across indoor spaces. Three distinct assisted transmission scenarios are considered in this proposed scheme: passive RIS (PRIS), active RIS (ARIS), and hybrid RIS (HRIS). This paper aims to maximize the signal-to-noise ratio (SNR) of the received signal for the three assisted transmission scenarios. The closed-form solution is presented in the PRIS and the ARIS-assisted transmission scenarios. In addition, the performance of the proposed scheme is analyzed under three assisted transmission scenarios. The results indicate that the ARIS-assisted transmission scenario achieves the highest data rate and energy efficiency under a smaller transmit power while demanding minimal unit cells.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1943-1954"},"PeriodicalIF":5.3000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active RIS-Assisted mmWave Indoor Signal Enhancement Based on Transparent RIS\",\"authors\":\"Hao Feng;Yuping Zhao\",\"doi\":\"10.1109/TGCN.2024.3401192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the substantial path loss inherent to millimeter-wave (mmWave) frequencies, the signal sent by the outdoor base station is seriously attenuated when it reaches the indoors. Recent research has introduced a glass-based metasurface to enhance mmWave signals in indoor settings. While a transparent reconfigurable intelligent surface (RIS) can focus signals in specific areas, achieving ideal coverage is hindered by constraints such as building structures. To address this limitation, we propose a novel RIS-assisted mmWave indoor enhancement scheme in which a transparent RIS is deployed on the glass, and a reflection RIS is introduced to enhance signal connectivity, ensuring mmWave coverage across indoor spaces. Three distinct assisted transmission scenarios are considered in this proposed scheme: passive RIS (PRIS), active RIS (ARIS), and hybrid RIS (HRIS). This paper aims to maximize the signal-to-noise ratio (SNR) of the received signal for the three assisted transmission scenarios. The closed-form solution is presented in the PRIS and the ARIS-assisted transmission scenarios. In addition, the performance of the proposed scheme is analyzed under three assisted transmission scenarios. The results indicate that the ARIS-assisted transmission scenario achieves the highest data rate and energy efficiency under a smaller transmit power while demanding minimal unit cells.\",\"PeriodicalId\":13052,\"journal\":{\"name\":\"IEEE Transactions on Green Communications and Networking\",\"volume\":\"8 4\",\"pages\":\"1943-1954\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Green Communications and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10531028/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Green Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10531028/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Active RIS-Assisted mmWave Indoor Signal Enhancement Based on Transparent RIS
Due to the substantial path loss inherent to millimeter-wave (mmWave) frequencies, the signal sent by the outdoor base station is seriously attenuated when it reaches the indoors. Recent research has introduced a glass-based metasurface to enhance mmWave signals in indoor settings. While a transparent reconfigurable intelligent surface (RIS) can focus signals in specific areas, achieving ideal coverage is hindered by constraints such as building structures. To address this limitation, we propose a novel RIS-assisted mmWave indoor enhancement scheme in which a transparent RIS is deployed on the glass, and a reflection RIS is introduced to enhance signal connectivity, ensuring mmWave coverage across indoor spaces. Three distinct assisted transmission scenarios are considered in this proposed scheme: passive RIS (PRIS), active RIS (ARIS), and hybrid RIS (HRIS). This paper aims to maximize the signal-to-noise ratio (SNR) of the received signal for the three assisted transmission scenarios. The closed-form solution is presented in the PRIS and the ARIS-assisted transmission scenarios. In addition, the performance of the proposed scheme is analyzed under three assisted transmission scenarios. The results indicate that the ARIS-assisted transmission scenario achieves the highest data rate and energy efficiency under a smaller transmit power while demanding minimal unit cells.