A social-aware K means clustering algorithm for D2D multicast communication under SDN architecture

Abstract

In order to improve efficiency and reliability of data sharing, this paper investigates D2D multicast users clustering problem based on the social attributes of terminal equipment. A software-defined network (SDN) architecture is introduced to relieve the signaling and calculating pressures of base station. Besides, a social-aware K means clustering algorithm for D2D multicast communication that includes user equipments (UEs) clustering and core user selection is proposed under SDN architecture. Both physical distance and social distance between UEs are taken into account when performing D2D multicast clustering algorithm. In addition, the power of UE, storage space, social attribute and mobility properties are comprehensive considered when selecting core user in D2D multicast groups. The numerical simulation results show that the proposed scheme is effective in improving system utility and throughput performance and has a good robustness for D2D multicast clusters.