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In this letter, we investigate how to leverage inter-human social ties to strike a trade-off between the physical layer security and throughput performance in device-to-device (D2D) communications with relay selection. Different from standard stable matching model assuming that all agents are trusted, we first relax this assumption by considering the fact that the blocking pair with social ties can facilitate the deviation. In the so-called socially stable matching model, we can find a stable matching over two independent graph models rather than over a reconstructed graph by reserving the intersection between edges in physical graph and social graph. Simulation results corroborate the superiority of our proposed scheme.

In flying Internet of Things (Flying IoT) scenario, the relay technology can effectively solve the problem of timely communication with distant unmanned aerial vehicles (UAVs). It is practical to design a distributed approach to let UAVs self-organize their relay selection strategy while considering the impact of social networks of objects. In this letter, we first propose a social-aware relay selection scheme using matching theory, which takes both physical condition and inter-device social tie into account. Besides, we study how to find the unilaterally Pareto-optimal stable matching through inconspicuous manipulating the preference list. Simulation results demonstrate that the proposed scheme can strike a better trade-off among throughput, reliability, and computational complexity performance than other benchmarks.