Research On D2D Resource Allocation Scheme Based On Social Network

With the rapid popularity of mobile devices such as smartphones and tablets,mobile traffic in wireless systems is experiencing explosive growth in recent years.People are thinking about 5G network to meet the huge network traffic growth while making full use of limited spectrum resources.D2 D communication technology can achieve the communication between short-range mobile devices by multiplexing the licensed spectrum among them and becomes a key component of realizing high-speed network communication in the 5G cellular network.However,although D2 D communication can effectively improve spectrum utilization,offload traffic,and reduce transmission delay,how to ensure the full utilization of cellular users' licensed spectrum and maximize system performance has become one of the key research issues in D2 D communication technology.Therefore,based on the knowledge of game theory and matching theory,this paper introduces the game allocation theory based on game theory and social clustering combined with real social network data,and gives the corresponding theory and simulation.The specific research contents are as follows:(1)The research status of D2 D resource allocation scheme is introduced.It is pointed out that although the current D2 D resource allocation scheme takes the auxiliary role of social domain characteristics into account,it does not compare and think with the interference characteristics in the physical domain.Then introduce some D2 D resource allocation schemes based on game theory and matching theory,and point out the advantages and disadvantages of these schemes.Finally,the research direction of this paper is clarified by combining with the main thinking points of current D2 D resource allocation.(2)The characteristics of the social and physical domains of the system are modeled,and the types of interference in the system are combed and calculated in the small cell system scenario.Based on this,the social relationship between the nodes in the real social scene is proposed.The scheme expresses the influence of the power interference of the physical domain and the social utility of the social domain on the performance of the system as a social-practical utility function.Under the complete information dynamic game model,it studies whether the social-aware utility function has the Nash equilibrium optimal solution and gives relevant proof.In addition,after obtaining the Nash equilibrium solution set,a priority-based UFM matching algorithm is proposed based on the matching theory.At the same time,we also compare with the current two frontier D2 D resource allocation algorithms,and verify the advantages of this scheme in improving system transmission performance from the perspective of system throughput.(3)The influence of social relationship on the system is described as the form of social weighted interference.On this basis,the infectious disease propagation model is used to cluster the nodes in the system by using the content transmission probability between users,and the high-power interference link is excluded from the system influences.Then,based on the idea of matching theory,a priority-based SRM matching algorithm is proposed to achieve one-to-one matching between D2 D pairs and cellular users.After the design of the scheme is completed,we also compare with the current two frontier D2 D resource allocation algorithms.The experimental simulation demonstrates the advantages of this scheme in improving the transmission performance of the system from two aspects: system throughput and transmission time.