A Distributed Social-Aware Clustering Approach in D2D Multicast Communications

Device-to-Device (D2D) multicast communication is becoming a promising technology to improve local area service. In this paper, we present a distributed social-aware clustering method to group the content requesters (CRs) into clusters. Specifically, a cluster head (CH) selection algorithm based on social maximum weight (SMW) is firstly proposed to select the CHs from the original CRs. After that, we propose a cluster formation optimization framework via a non-transferable utility coalition formation game (CFG), and a distributed coalition formation algorithm for clustering is proposed based on preference relationship and switch operations. Moreover, the final coalition structure is proved to be Nash-stable. Numerical results are presented to verify the effectiveness of our proposed schemes.

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