Research On D2D Communication Technology Based On Social Networks

It is difficult for a cellular network to meet the demand for multimedia data transmission by so many devices.The system capacity,communication coverage,and flexibility of traditional cellular networks have been challenged.In order to use wireless resources effectively and reasonably,D2D communication technology has gradually attracted attention and entered the standardization evolution process of IMT-A.Mobile devices have already turned into important tool for human beings and have demonstrated social attributes in many aspects.Based on this,we calculated the social characteristics of the equipment based on the communication data,the trajectory data,and the business scope statistics of interest.The social attribute value is used in the device discovery process and cooperative communication process in D2D communication to achieve the purpose of improving the performance of communication systems such as energy efficiency,cooperation efficiency,and security.The following content is the focus of this study,including the following:(1)The first step in D2D communication is to discover potential neighboring communicable nodes,that is,neighbor node discovery.This dissertation uses a base station-assisted D2D communication architecture for neighbor discovery.In order to find the target node faster when performing neighbor discovery and save energy,trust information,user trajectory information,and service type in the social relationship are used as important parameters to optimize the neighbor node discovery process.Based on this,a D2D information sharing algorithm based on social relations and trajectory is designed.The simulation proves that the algorithm can effectively improve the neighbor user discovery probability and system throughput.(2)In the process of establishing communication,in some cases,the quality of the channel between the source node and the destination node is poor,which degrades the performance of the communication system.Usually,a relay node is set to solve this problem.Previous collaborative communications assume that nodes are all " altruism ",that is,they will cooperate when receiving a collaboration request.This dissertation considers the situation where a node refuses to cooperate for its own benefit,and proposes a compensation incentive strategy based on social relations.In order to maximize the interests of the helper and the aided person,the compensation parameter selection process is modeled as the Nash negotiation problem,and game theory is used to solve the compensation parameter with Pareto optimality.This strategy makes both the source node and the relay node receive satisfactory revenue and promotes cooperation in the communication network.(3)The D2D communication system based on social relations proposed in this dissertation basically relies on social relations to prevent malicious nodes.In order to better ensure communication security,a security protocol based on hash function is proposed for the communication scenario considered in this dissertation,and specific to the protocol.The steps were explained in detail and the security of the security protocol was proved using a random oracle model.