Research On V2V Resource Allocation Based On QoS Requirements Of Different Applications In Vehicular Networks

With the development of Intelligent Transportation Systems(ITS),vehicular network technology has played a significant role in reducing traffic congestion,avoiding traffic accidents,improving driving safety and providing entertainment services,etc.,which has gained considerable attentions from government,industrial and academic communities.The device-to-device(D2D)enabled vehicle-to-vehicle(V2 V)communication as an important part of the vehicular network technologies,not only can support the road safety(RS)applications(such as collision warning and hazardous location notification),but also support the road non-safety(RNS)applications(such as entertainment information sharing and multimedia content distribution),where the RS applications need to satisfy the quality of service(QoS)requirement of low-latency and ultra-reliable and the RNS need to satisfy the QoS requirement of high throughput.Therefore,this thesis studies the resource allocation of V2V communication based on the QoS requirements of RS and RNS applications,respectively.On the basis of the formulated problem,the coalition game method,Lyapunov optimization method and convex optimization method are applied to solve the optimization problem,and the simulation analysis is carried out.The main works of this thesis can be summarized as follows:(1)This thesis constructs a V2V communication model with high spectrum utilization,including an evolved Node B(eNB),multiple V2V links and cellular user(CU)links.The V2V links transmit the information between the adjacent vehicle by reusing the resource blocks(RBs)preoccupied by the CU links in the form of D2D communications.Meanwhile,multiple V2V links and a CU link can share the same RB.For the above V2V communication model,this thesis formulates an optimization problem that aims at maximizing the sum rate of V2V link while guaranteeing the maximum interference requirement of the CU links.Furthermore,a heuristic resource allocation strategy based on the coalition game method is designed.The coalition game method and convex optimization method are used to solve the RB allocation sub-problem and the power optimization sub-problem,respectively,and the result of the optimization problem is obtained.The simulation results demonstrate the efficiency of the proposed resource allocation strategy in terms of the V2V links sum-rate under the condition of high spectrum utilization.(2)This thesis constructs a V2V communication model with buffer queue,including an eNB,multiple V2V links and vehicle-to-infrastructure(V2I)links.The V2V links transmits the information between the adjacent vehicle by reusing the RBs preoccupied by the V2I links in the form of D2D communications,and each V2V transmitter is equipped with a buffer queue for storing data.For the above V2V communication model,this thesis formulates an optimization problem that aims at maximizing the energy-efficient of V2V link while guaranteeing the timeliness and reliability requirement of V2V links and the minimum rate requirement of the V2I links.Then the Lyapunov optimization method is used to transform the optimization problem into an equivalent problem of minimizing the upper bound of Lyapunov drift and penalty in per time slot,and the convex optimization method is employed to solve the result of resource allocation.Finally,numerical results demonstrate that the proposed resource allocation strategy can effectively balance the energy-efficient of V2V links with the requirement of timeless and reliability of V2V links.