Abstract
Aiming at the bad video quality which caused by the diversity of users cooperation willingness and the limited transmission rate of multicast due to the worst channel quality of user, a model is proposed for cooperative D2D communications that combines social relationships and physical conditions between users. Additionally the corresponding D2D pairing for cooperative video transmission algorithm based on stable matching in this model is also given. To this end the importance and status of each dimension is measured by the weight function. The weight function is used to establish dynamic social relationships between users combined with physical distance. Thus unicast throughput and delay are derived by considering the social relationships and physical conditions. The preference information are generated by designing the utility function of cooperation, the users form a stable matching by dynamic negotiation. Finally, it is proved that the proposed algorithm is stable and weak Pareto optimal. Simulation results demonstrate that D2D communications can be enhanced by considering social aspects, and that the performance of the proposed algorithm can be improved with lower computation complexity compared to the traditional cooperative scheme.
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