Virtual Resource Allocation Algorithm For Cellular D2D Communications

With the rapid development of mobile communication technologies and intelligent terminal technologies,various types of mobile Internet services have been widely used,and traditional cellular communication technologies have been unable to meet the quality of service(QoS)requirements of users.The Device-to-Device(D2D)communication system can effectively improve the network transmission performance and meet the growing business demands of users by applying the D2 D technology to the cellular network.However,the complexity of the cellular D2 D communication scenario and the diversification of user service requirements pose difficulties and challenges to the wireless resource management technology.In this paper,the radio resource management algorithms for cellular D2 D communication are studied,and the main contents are as follows:Firstly,the key technologies of cellular D2 D communication are described based on the introduction of the development and application of D2 D communication,and the cellular D2 D wireless resource management algorithms are analyzed and summarized in this paper.For the cellular D2 D communication systems composed of multiple physical base stations and multiple users,this paper proposes a joint mode selection,virtual base station association and resource allocation algorithm for cellular D2 D communication.Applying wireless network virtualization technology,a physical base station is virtualized into a number of virtual BSs,taking into account the conditions of user virtual base station association,transmission rate,and resource allocation constraints,etc.The problem of joint mode selection,virtual base station association and resource allocation is modeled as the problem of total user service latency minimization.Due to the optimization problem is a binary nonlinear optimization problem,it is difficult to solve by traditional optimization methods.In this paper,a heuristic algorithm is proposed to convert the original problem equivalently into three sub-problems,namely transmission mode selection,resource allocation,and virtual base station association sub-problems,which can be solved by Lagrange dual method and Kuhn-Munkres(K-M)algorithm to obtain a joint mode selection,virtual base station association and resource allocation optimization strategy,and achieve the optimization of the total user service delay.For the single-cell cellular D2 D communication system composed of multiple users,this paper proposes a joint user association and content deployment algorithm for cellular D2 D communication.Assuming that the cluster head has a content caching function,users with content requirements can use the D2 D communication mode to perform content acquisition in association with the cluster head,and can also perform content request through the base station.Considering the cluster number,user-associated cluster head,cluster head cache capacity,and transmission rate limitations,a joint user association and content deployment optimization model based on minimizing total user service latency is established.The optimization problem is a non-convex mixed integer optimization problem.In this paper,the original optimization problem is equivalently transformed into three sub-problems of convex optimizations through Lagrange partial relaxation method,and an iterative algorithm is proposed to jointly solve the sub-problems,thus the joint user association and content deployment optimization strategy can be obtained.