Research On Spectrum Resource Allocation Strategy In Heterogeneous Vehicular Networks

With the increasing demand on vehicle to vehicle and vehicle to infrastructure communications in vehicular networks,the spectrum resources are insufficient to support the wireless and mobile service for large amount of vehicle users.Besides,the high-mobility environment,e.g.,the urban area,results in degradation on the link quality due to the fast moving of vehicles.In this paper,with the aims of alleviating the pressure from the shortage of spectrum resource and addressing the inefficient spectrum utilization,we investigate the spectrum sharing for moving vehicles and macrocell users in Heterogeneous Vehicular Networks(HVNs)consisting of the macrocells and the Road Side Units(RSUs)with Cognitive Radio(CR)technology.The main contributions are summarized as follows:1.The spectrum resources allocation for macrocell users and vehicles is investigated.Heterogeneous Vehiclular Network is modeled for spectrum shortage,including the Macrocell Base Station and the Road Side Units.Cognitive Radio technology is incorporated into HVNs,where RSUs with cognitive capability perform sensing the available spectrum in the surrounding environment.As coordinator,the MBS allocate the available spectrum resources for vehicles and macrocell users.Then,the semi-Markov chain processing(SMDP)is proposed to analyze the dynamic spectrum allocation strategy by taking into account the mobility of vehicles and the availability of spectrum.Finally,the value-iteration algorithm obtain the optimal policy.The simulation results demonstrate the proposed solution can effectively improve the efficiency of spectrum utilization.2.The spectrum sharing among RSU-tier in heterogeneous vehicle network is investigated.The downlink resource allocation for vehicle users associated with different RSUs is modeled as an n-person game and solved by designing a noncooperative game theoretic approach.By considering transmission power constraint of RSU and inter-RSU interference,the resource allocation and interference mitigation among RSUs are formulated via maximizing the overall utility in the HVNs.We design a game theoretical strategy optimization algorithm based on regret-matching and then derive the correlated equilibrium solution.Moreover,a heuristic power control algorithm(HPCA)is devised to further mitigate the inter-RSU interference in the noncooperative game based resource allocation.The study reveals the proposed approach can achieve the correlated equilibrium with fast convergence and significantly improve the system performance in high mobility HVNs.