在设备终端直通D2D（device-to-device）通信中，当源节点与目的节点间的距离过大时，会出现通信质量差、通信过程中断概率大的问题，为此提出了一种基于博弈理论的D2D通信中继选择的算法.首先基于距离损耗限定了中继的位置区域；然后考虑到能量过低会造成通信中断的问题，分析了候选中继节点的转发能力，通过筛选得到候选中继集合；随后考虑到节点间的社交关系，分析了通信的中断情况；最后利用博弈理论选择出最优中继节点进行数据传输.仿真结果表明：与随机选择算法和基于信道状态信息的最优中继选择算法相比，所提算法有效提高了D2D通信的覆盖率，降低了通信链路的中断概率，提高了系统的整体吞吐量，进而提升了中继系统的稳定性.
To solve the problem of poor communication quality and high probability of communication interruption when the distance between the source node and the destination node is too large in D2D communication, this paper presents an algorithm of D2D communication relay selection based on game theory. Based on distance loss, the algorithm firstly defines the location region of the relay, and then analyzes the forwarding ability of the candidate nodes considering the communication interruption caused by too low energy. The candidate relay sets are obtained through filtering, consider the relationships between the nodes at the same time, the interruption of communication is analyzed, and finally the optimal relay nodes are selected by game theory source nodes for data transmission. Simulation results show that compared with the random selection algorithm and the optimal relay selection algorithm based on channel state information, the proposed algorithm can effectively improve the coverage of D2D communication, reduce the interrupt probability of communication links, improve the overall throughput of the system and improve the stability of the relay system.
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