The Optimization Of The Wireless Resource Allocation Method Based On The C-V2X Vehicle Network

Internet of vehicles is the most critical technology of intelligent transportation.CV2 X is the main method of internet of vehicles,which can provide the direct communication(Interface PC5)and the cellular communication(Interface Uu).The application scenarios of internet of vehicles are complex,where vehicles are running and the number is dynamic.However,the SPS algorithm is utilized by the direct communication of C-V2 X to allocate the wireless resource,which cannot deal with the hidden terminals due to the number of vehicles increasing,and the performance could be affected.It is necessary to build an optimized wireless resource allocation mechanism,which can efficiently enhance the performance of internet of vehicles and promote the development of intelligent transportation.Based on the principles of SPS,considering the hidden terminals and the selection of parallel resources,we perform the theoretical analysis and the practical tests to quantize the performance of the direct communication,where the typical application scenarios are selected.For the broadcast service of the direct communication,a K-means clustering algorithm based the adaptive K is developed,and the greedy algorithm and an allocation method based on color sensitive graph coloring(CSGC)are applied to deal with different applications scenarios,which can increase the reliability.Finally,for the unicast of the direct communication,a wireless allocation method based on the Stackelberg game is proposed as a solution to the diversity requirements of different links and the problems caused by the dynamic characteristics of the density of vehicles.The main work is as follows.(1)A quantitative evaluation method is built,including the theoretical analysis based on multi-dimension indexes and the practical experiment.Considering the typical scenarios,the PRR and data collision probabilities are selected to assess the performance of SPS with changes of the density of vehicles and the distance between vehicles.Besides,the test case and the test scenarios are built.According to test data,the performance of RSU and OBU are evaluated through received signal strength indicator(RSSI),time delay and packets loss.The theoretical and experimental results present that SPS cannot solve the problems caused by the hidden terminals.(2)For the broadcast of the direct communication,a wireless resource allocation method based on the vehicle clustering algorithms is proposed.A modified K-means clustering method is developed to perform the clustering of vehicles based on the location.According to requirements of time delay and reliability,the priorities are determined,and the decisions based the greedy algorithm and the CSGC algorithm are generated to deal with different application conditions,which can bring the optimization of the broadcast service.(3)For the unicast of the direct communication,a wireless resource allocation method based on the Stackelberg game is proposed.A modified cell transfer model is applied to describe the dynamic characteristics of the vehicle flows.According to the constrain conditions including Qo S and power,a resource allocation method for vehicle flows is built,which can get the optimal solution through the Stackelberg game.Therefore,the interference can be reduced and the overall performance of internet of vehicles can be increased.Simulation results demonstrate the proposed method can efficiently deal with problems caused by the hidden terminals and the diverse requirement of vehicles.The novel wireless resource allocation method can significantly increase the throughput and timelines,and reduce the probability of packet collisions,which can support the development of internet of vehicles.