Resource Allocation For Cellular-V2V Vehicular Wireless Communication System

The development of vehicular communications are expected to enable a whole new set of services,ranging from road safety improvement to traffic efficiency optimization,from driverless cars to ubiquitous internet access on vehicles.Those are significant development space in making our daily experience on wheels safer and more convenient.V2 V communications have attracted more and more attention recently from both industry and academia due to its strong potential to enhance road safety,improve traffic efficiency,and provide rich on-board information and multimedia services.In addition,with the introduction of green communication,the concept of low power consumption and high energy efficiency has gradually been introduced into the field of vehicular communication.Therefore,the industry applies Cellular system and D2 D technology to V2 V communications to improve the resource utilization of communication systems and energy efficiency of users.Spectrum allocation and energy efficiency optimization are two important research contents in the Cellular-V2 V vehicular wireless communication system.In terms of spectrum allocation,traditional algorithms do not consider channel gain comprehensively and the convergence of the algorithm is poor;in terms of energy efficiency optimization,the QoS guarantee of Cellular users is often ignored.Therefore,the dissertation is mainly carried out as follows.Firstly,a brief overview of the cellular mobile communication system and D2 D technology is provided.Among them,it includes the key technology in the cellular mobile communication system;spectrum allocation and energy efficiency optimization with D2 D technology are applied to vehicular communication.Secondly,aiming at the problem of low system throughput in the spectrum allocation of Cellular-V2 V vehicular wireless communication system,a spectrum allocation algorithm based on firefly algorithm is proposed.The algorithm rationalizes the available spectrum and channel gain of V2 V users to maximize the system throughput.During the solution process,the spectrum allocation variable is mapped into firefly location information,and the system throughput is converted into the firefly's brightness value.Numerical analysis shows that the algorithm has a fast convergence rate and the average benefit value of the population is higher than the genetic algorithm.Thirdly,aiming at the energy efficiency optimization problem in the Cellular-V2 V vehicular wireless communication system,a Lagrangian method combined with the Dinkelbach method is proposed.The algorithm takes into account the SINR constraint of Cellular users and V2 V users and the maximum power limit of V2 V users to maximize theenergy efficiency of V2 V users.Also,the algorithm considers energy harvesting to improve energy efficiency.The numerical analysis shows that the optimized energy efficiency value obtained by this algorithm is higher than that of genetic algorithm,and the complexity is lower.