Design Of Multi-Base Station Vehicular Network System And Vehicle Early Warning System Based On The Integrated Sensing And Communication Technique

The integrated sensing and communication(ISAC)technique has become essential to next-generation vehicular networks.This paper mainly focuses on the design of multi-base station vehicular network and the design of vehicle early warning system.For the design of the multi-base station vehicular network,this thesis designs a vehicular network model based on dual-functional radar communication(DFRC)technique with multiple base stations working together.Since there are multiple RSUs in the system,we first propose a signal switching model between vehicles and different RSUs.These RSUs perform the sensing task based on the dual-function signal echo,and predict the vehicle motion parameters through the vehicle motion prediction model.Accordingly,we utilize a neural network to extract angle information from signal echoes instead of traditional methods,thus improving the angle estimation accuracy.To further improve the estimation performance,we formulate an optimization problem to minimize the Cramer-Rao bound(CRB)on angle estimation by properly allocating power to each RSU.Finally,we propose a novel weighting method to further improve the cooperative localization accuracy of the multi-RSU system.Simulation results show that the performance of angle estimation can be improved by utilizing the proposed neural network method and the novel power allocation scheme.In addition,the novel weighting method can considerably improve the localization accuracy.For the design of the vehicle early warning system,this thesis first defines the detection range of the integrated signal of communication and sensing,which avoids the blind area of signal scanning and can save the power of the transmitted signal.Secondly,referring to radar imaging,this thesis identifies the vehicle rotation attitude,and then predicts the vehicle localization more accurately by utilizing the vehicle motion prediction model.Finally,the power of the hybrid beamforming transmitter is reasonably allocated to further improve the overall communication rate of the system on the basis of ensuring the sensing performance.The simulation results show that the setting of the signal detection range is simple and reasonable.After the addition of attitude recognition,the localization of the vehicle is more accurate,and the new power distribution scheme can also improve the communication rate of the system.