Research On Optimizing The Performance Of D2D Communication Based On Social Attributes

With the popularization of smart devices and the rising demand for multimedia,the ever-increasing user demand urgently requires a significant increase in the capacity of the communication system.Therefore,D2D(Device-to-Device)communication comes into people's sight.With the development of D2 D communication,social networks that have provided feasible solutions for problems in many fields and disciplines have attracted the attention of many researchers at home and abroad.D2 D communication devices are usually the medium for humans to communicate with each other,and therefore can reflect the user's behavior patterns and social relationships.These modes and relationships are social attributes.Considering that the spontaneity of D2 D communication is inseparable from the interconnection between devices,the combination of D2 D communication and social attributes can effectively improve the performance of D2 D communication and help us solve the challenges and problems in D2 D communication.This dissertation focuses on the key issues of mode selection,peer matching and resource allocation in D2 D communication based on social attributes.The details are as follows:Starting from the problem of resource allocation in D2 D communication,the concept of social attributes is introduced.By combining the traditional geographical factors and social attributes,an efficient and secure D2 D packet forwarding algorithm based on social attributes is proposed.The algorithm firstly combines social ties and similarity of interests,and uses the Chinese Restaurant Process(CRP)to formulate a strategy for clustering D2 D users.Then,the centrality is used to identify the potential link frequency of these D2 D user groups,and according to the connection frequency of clusters to match the cellular users for resource reuse.The final simulation results show that the algorithm can effectively improve the spectrum utilization and reduce the pressure caused by the base station repeatedly downloading redundant content.Aiming at the problem of poor security and low success rate of peer matching in D2 D communication,a peer matching and mode selection algorithm combined with social attributes in D2 D communication is proposed.First of all,this algorithm proposes a D2 D transmission method which fragments files and allows multiple users to jointly implement the D2 D sharing process of the files;then a safe and efficient file fragmentation scheme selection algorithm is obtained by combining genetic algorithms and social attributes(including social ties and similarity of interest);according to the resulting file fragmentation scheme,it is finally determined whether the user obtains the file through the D2 D mode.The simulation results show that the method of file segmentation and splicing in this algorithm can better offload the traffic of the base station;the introduction of social ties also reduces the number of malicious nodes in D2 D communication and improves the security;and by introducing the concept of distance of interest,the number of users in the final splicing scheme is as small as possible,and thus more in line with actual needs.