Research On Resource Scheduling And Slicing Technology For 5G Vehicle Network

With the rapid development of mobile communication and automobile industry,Vehicle to Everything(V2X)communication technology has attracted extensive attention from researchers and related organizations.Currently,the standardization of V2X for 5G mobile communication technologies has been fully carried out under the impetus of domestic and foreign standardization organizations such as 3GPP.Among them,the resource scheduling problem has always been a hot topic in this field.With the increase of the number of vehicles,the demand for V2X communication continues to increase,and the resource scheduling technology is facing more severe challenges.At the same time,businesses in 5G V2X are more diversified,and traditional communication networks cannot meet various business needs.Network slicing technology has become one of the key technologies in 5G V2X because it can customize dedicated logical networks for different businesses.This paper focuses on the resource scheduling in 5G V2X and the application of network slicing technology,and conducts the following research work:In view of the limited number of Vehicle to Vehicle(V2V)links and low resource utilization caused by the limited number of resource blocks in the V2V communication mode in the 5G V2X scenario,this study aims to maximize the number of V2V links capable of simultaneous transmission under the condition of limited number of resource blocks.Firstly,the problem model of resource block allocation is proposed in this paper.By defining the corresponding function mapping and variable mapping rules,the problem is mapped to the factor graph model.Furthermore,the resource block allocation problem is transformed into the message inference problem of the factor graph model,and the message passing process on the factor graph model is analyzed in detail,and the belief propagation algorithm based on real-time message updating is proposed.Finally,the simulation results show that the proposed resource block allocation scheme can improve the utilization rate of the system resource block by 100%compared with the traditional scheme under the condition of meeting the communication service demand of the V2X and the maximum transmission power of the V2V link.In view of the problem that the maximum transmission power configuration in the process of resource block allocation leads to the reduction of system energy efficiency and limited throughput,we further study the power control scheme in the V2V communication system.According to the result of resource block allocation,the problem model of power control problem is proposed to maximize the throughput of V2V communication system.Secondly,the form of restriction conditions is transformed by means of variable substitution and adding penalty items.Then,Lagrange dual decomposition method is used to solve the problem,and the updated formula of the power variable and the Lagrange multiplier is derived in detail,and the power control scheme based on the Lagrange dual decomposition method is proposed.The simulation results show that the power control scheme improves the throughput rate of the V2V communication system compared with the equal power configuration.In view of the problem that the traditional communication network is difficult to meet the multiple business requirements of 5G V2X,the impact of the application of network slicing technology on the performance of 5G V2X system is studied.In this paper,OPNET Modeler simulation software commonly used in system level simulation of V2X was selected to build 5G V2X system with/without network slice,and V2V terminal service with stringent latency requirements and traditional Video terminal service were designed.Then,the performance of 5G V2X system with/without network slice is simulated and analyzed by setting different service load sizes.The simulation results show that the network slicing technology can customize the logical network for different business requirements,realize communication resource isolation,and improve the system performance under multiple business requirements in 5G vehicle networking scenarios.