Research On Resource Allocation Mechanism Of Internet Of Vehicles Communication Based On C-V2X

At present,the spectrum allocation in the Internet of Vehicles communication basically adopts the static fixed allocation mode.With the rapid development of society,the number of end users and motor vehicles in the Internet of Vehicles increases rapidly,and the communication resources in the system are likely to be in short supply.Some fixed spectrum allocation methods cannot meet the spectrum requirements of vehicle users,and the utilization rate of spectrum resources has not been effectively improved.Therefore,this paper studies the resource allocation problem of the Internet of Vehicles communication under different network communication modes of the Internet of Vehicles.Aiming at the shortage and underutilization of Internet of Vehicles communication resources,this paper proposes a market transaction-based spectrum resource allocation model for Internet of Vehicles,referred to as the MTRA model.The modules of the MTRA model mainly include communication base stations,spectrum management servers,and cognitive vehicle users.In order to improve the utilization of communication resources and alleviate the shortage of spectrum,the base station sells the idle spectrum to cognitive vehicles and charges a certain fee.Some vehicles will also generate income when sharing the idle spectrum of the TD-LTE evolved base station,aiming at profit.Reasonable allocation of idle spectrum.Through MATLAB,the method proposed in this paper is compared with the method without considering the spectrum quality and cognitive user bidding.The results show that the MTRA model allocates more bandwidth to cognitive vehicle users,and makes the TD-LTE evolved base station more profitable.The benefits are greater,and the communication effect of the Internet of Vehicles is better.In the C-V2X cellular communication mode,when the base station and the cognitive vehicle use the shared spectrum to send messages,they need to transmit with a certain power,which will cause interference when transmitting data and cause unnecessary costs.For this reason,this paper first comprehensively considers various The influencing factor introduces a nonlinear cost function including path gain,and adopts an efficiency function that is only related to the signal-to-noise ratio of the vehicle and is suitable for cognitive vehicle networking,so as to design and establish the SNPGPGNL model,which is used to design a reasonable data transmission power,increase The average number of bits of information that can be correctly received per unit of energy consumed.We conduct experiments in various scenarios through MATLAB.The simulation results show that SNPGPGNL requires less power and interference than NPGPNL and NPGP algorithms,and the data throughput is greater.