Research on Methods for Mitigating Multipath Fading and Path Loss in ISAC RIS-assisted Systems
As an important part of the future intelligent transportation system,the Internet of Vehicles has increasingly high re-quirement for communication and perception.Integrated Sensing and Communication(ISAC),as a promising technology in Internet of Vehicles,has attracted widespread attention in the industry because it can solve the problem of location perception in communication scenarios.Due to the more random and uncontrollable electromagnetic environment in urban scenarios,the current traditional communi-cation system architecture can no longer meet the communication and perception needs in Vehicle-to-Infrastructure(V2I)system.In response to this,this paper considers adding a Reconfigurable Intelligent Surface(RIS)to traditional V2I system,combining it with ISAC technology,and constructing a new passive perception model under multipath scenarios.Then,it deeply analyzes the optimization of the anti-multipath performance of the RIS-assisted ISAC communication system under a new passive perception model.A large-scale RIS unit optimization grouping method is proposed,which allows some units to participate in signal reflection,and then compares the system performance of the large-scale RIS after unit optimization grouping with the small-scale RIS with the same number of units.Sim-ulation results show that the optimized design of large-scale RIS achieves a signal transmission efficiency of about 1.5 bit/s higher than that of small-scale RIS,effectively reducing the channel estimation overhead while improving the system signal transmission performance.
国家科技期刊平台
NSTL
万方数据
