Vehicle-to-Vehicle Stochastic Geometric Channel Models And Characteristics For Urban Scenarios

On urban viaducts,areas where multiple roads confluence are common,posing a challenge to traffic safety.First,these areas involve the merging of traffic flows on different roads,thus increasing the risk of accidents.Second,in order to reduce noise pollution,these areas are usually equipped with soundproof walls,but the presence of soundproof walls hinders vehicle-to-vehicle(V2V)communication between lanes,which has a negative impact on traffic flow scheduling.Therefore,it is very necessary to carry out related research on V2V communication in the above-mentioned confluence area with soundproof walls.In view of the above problems,this thesis studies the channel modeling of V2V communication and further performance optimization in the confluence area scenario with soundproof walls in urban viaducts,and creates a simulation platform to visually display the research results.The innovation points and main work of this thesis are summarized as follows:1.In order to solve the channel modeling problem of V2V communication in the studied scenario,a broadband geometric-based stochastic model(GBSM)with semi-circular ring and multi-confocal semi-ellipsoids is proposed.Secondly,based on the geometric model,the impulse response of the channel and the corresponding deterministic simulation model are deduced.Finally,the simulation model is used to explore the influence of key parameters such as the height of the soundproof wall and vehicle speed on the statistical characteristics of the channel,and the channel non-stationarity caused by large-scale antenna configuration is preliminarily explored.The theoretical and simulation results show that the model can well describe the negative impact of the soundproof wall between vehicles on V2V communication,so it can be used as a theoretical guide for the design of corresponding communication environment system.2.Aiming at the performance optimization problem of V2V communication in the studied scene,that is,on the basis of 1,further considering the worse communication environment,a V2V communication performance optimization scheme based on the Intelligent Reflector Surface(IRS)was proposed.Firstly,the specific deployment scheme of IRS is proposed.Secondly,according to the IRS deployment scheme,the corresponding system model is constructed.Finally,according to the system model,a joint optimization strategy for the signal transmitting beamformer,IRS phase-shift matrices and the signal combination receiver is proposed.The performance optimization scheme proposed in this thesis can achieve a breakthrough in V2V communication under harsh communication environment,and support the preliminary exploration of the optimal number of IRS reflection units.Therefore,it provides a reference for the performance optimization of the studied communication environment.3.According to the requirement of visualization of existing research results,a corresponding simulation platform is created.The simulation platform is flexible and easy to operate,and it can support users to input custom simulation parameters,and can display the corresponding simulation results clearly and intuitively,so it has high practical value...