| With the rapid development of Internet of things business in recent years,the exponential growth of data traffic business,the lack of spectrum resources is becoming increasingly serious.The secondary utilization of spectrum resources can solve the shortage of spectrum resources to a certain extent and improve the spectrum utilization.LTE-V2 V communication network can not only realize V2 V link sharing the spectrum resources of cellular users,but also reduce the information transmission delay and cell base station load pressure.However,when the V2 V link multiplexes the spectrum resources of the cellular users,there will be co channel interference between the cellular users and the V2 V link.When the co-channel interference is serious,it will directly affect the communication quality of both sides.In order to effectively reduce the co-channel interference caused by multiplexing the same channel and improve the system performance,scholars have proposed many resource allocation optimization schemes for LTE-V2 V network.Therefore,this paper will focus on the channel allocation and power allocation of V2 V link in LTE-V2 Vcommunication network.The main contents of this paper are as follows:First of all,according to the complexity of the actual communication environment and the mobility of vehicle users,this paper establishes an non-ideal channel fading model,which makes the channel estimation model closer to the actual communication environment.According to the competition relationship between cellular users and V2 V links and between V2 V links and V2 V links,this paper constructs the former competition as a Stackelberg game relationship,and the latter competition as a non-cooperative game relationship,so as to maximize the communication service quality of the two competitors.The base station regards the maximum interference it can bear as revenue and sells it to V2 V links.V2 V links choose the best transmission power according to their interference share,so as to control the transmission power of V2 V links.In this paper,two pricing mechanisms and the corresponding iterative pricing algorithm are proposed,and the convergence of the proposed algorithm and the effectiveness of power control are verified.Then,the power allocation scheme based on game bargaining has the disadvantages of high signaling overhead and high computational complexity.In order to overcome the shortcomings of the above power allocation scheme,Successive Convex Approximation method is used to optimize the power allocation of LTE-V2 V network.Because the optimization problem constructed in this paper is a non-convex optimization problem,it is NP hard and difficult to obtain the optimal solution directly.In order to solve the non-convex optimization problem,the Successive Convex Approximation method and Bernstein approximation method are used to transform the non-convex optimization problem into the convex problem expression,and the Lagrange dual method is used to obtain the iterative formula of the optimal solution.In this paper,a power control iterative algorithm is proposed based on the updated iterative formula obtained by Lagrange dual method,and the convergence and effectiveness of the proposed algorithm are verified.At last,in order to reduce the co-channel interference caused by adjacent V2 V links multiplexing the same channel,this paper proposes a clustering based LTE-V2 V channel allocation and power control scheme.This paper uses FCM algorithm to cluster V2 V links according to the location information of vehicles,and clusters the adjacent V2 V links.In this paper,the channel allocation problem is attributed to the interference bipartite graph matching problem.In this paper,KM algorithm is used to solve the interference bipartite graph matching problem,and the channel allocation of V2 V link is realized.This scheme allocates adjacent V2 V links to different orthogonal channels,which can effectively reduce co-channel interference(co-tier layer and cross-tier layer)and improve system performance. |
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