Research On Time Resource Allocation Method And Reliable Communication Technology Of The Sensing And Communication Integrated System

Driven by artificial intelligence technology,autonomous driving technology is rapidly developing with multiple sensors on board.However,inevitable fatal traffic accidents may occur due to the environment information perception failure of a single vehicle,which will give a challenge to the practical application of autonomous driving.In order to realize safe and intelligent autonomous driving,there is an urgent need for broadband reliable transmission technology to enable multi-vehicle sensing information to be effectively shared in the vehicular network,which poses a great challenge to low-latency transmission technology for huge volumes of data.Therefore,this thesis proposes the time resource allocation and reliable transmission technology of the sensing and communication integrated system based on the 5G millimeter-wave band,to achieve the beyond line-of-sight perception,thus improving the safety of autonomous driving.Aiming at the deterioration of transmission reliability caused by Doppler frequency shift in a highly dynamic vehicular communication,a Doppler frequency shift estimation and compensation method is proposed to improve the reliability of millimeter-wave broadband communication links.The contribution of this thesis consists of two parts.The first part is to propose a dynamic time division control strategy and time resource allocation method in the sensing and communication integrated system,aiming at the difficulty of multiple sensing information fusion.Using the radar information rate and communication information rate as the evaluation indicators,an optimized objective function is construced based on the time allocation and interference analysis in the scheduling period.To obtation the optimal time allocation stragety,we propose the centralized and decentralized time resource allocation algorithms based on the non-cooperative game theory.Then a simulation platform for the sensing and communication integrated system is designed and developed to verify the stable convergence of the proposed algorithms.Compared with traditional strategies,the proposed algorithms impove the system performance by 26%.In the second part,in order to solve the problem that the Doppler frequency shift significantly deteriorates the sensing and communication integrated system performance in the highly dynamic vehicular communication scenario,a data-aided Doppler frequency shift estimation algorithm is designed based on a novel frame structure of traninng sequences.And we propose a cost function based on accuracy to evaluate the performance of the designed frame structure.Furthermore,an adaptive Doppler shift frequency shift compensation algorithm is studied by leveraging historical estimation results to enhance the reliability of communication links.Moreover,the link-level simulation platform for the highly dynamic vehicular communication is developed to evaluate the performance of the proposed approach.Simulation results verify that the proposed algorithm can impove the BER performance by 5-20 dB compared with other existing conventional algorithms,which can ensure the reliability of the millimeter-wave communication in the sensing and communication integrated system.