{"title":"Transmitter Design for Integrated Sensing and Communication Systems with Integrated Services","authors":"Xinyi Wang, Zesong Fei, Jingxuan Huang, Peng Liu","doi":"10.1109/ICCCWorkshops52231.2021.9538903","DOIUrl":null,"url":null,"abstract":"Integrated sensing and communications (ISAC) technique has been viewed as a promising paradigm for vehicular networks, where various kinds of services are required for different vehicles, which can be achieved with the physical-layer service integration (PHY-SI) technique. In this paper, we investigate the integration of ISAC and PHY-SI techniques in a vehicle-to-infrastructure (V2I) system, where the ISAC base station simultaneously provides integrated public and confidential services for vehicles and performs beam tracking based on the echo signals. Specifically, we aim at maximizing the minimum echo signal SNR from the directions of vehicles under the constraints of public message rate and confidential message secrecy rate for the vehicle with higher security level. The successive convex approximation (SCA) technique is utilized to convert the formulated problems into a series of convex problems and iteratively solve them. Numerical results demonstrate that the echo signal SNR can be improved effectively via the proposed algorithm, while satisfying the communication performance requirements.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"42 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 Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538903","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
Integrated sensing and communications (ISAC) technique has been viewed as a promising paradigm for vehicular networks, where various kinds of services are required for different vehicles, which can be achieved with the physical-layer service integration (PHY-SI) technique. In this paper, we investigate the integration of ISAC and PHY-SI techniques in a vehicle-to-infrastructure (V2I) system, where the ISAC base station simultaneously provides integrated public and confidential services for vehicles and performs beam tracking based on the echo signals. Specifically, we aim at maximizing the minimum echo signal SNR from the directions of vehicles under the constraints of public message rate and confidential message secrecy rate for the vehicle with higher security level. The successive convex approximation (SCA) technique is utilized to convert the formulated problems into a series of convex problems and iteratively solve them. Numerical results demonstrate that the echo signal SNR can be improved effectively via the proposed algorithm, while satisfying the communication performance requirements.