Admission policy based clustering scheme for D2D underlay communications

Device-to-device (D2D) communication brings significant benefits to improve resource utilization and users´ throughput as an underlay to cellular networks. This paper first proposes an efficient admission policy based D2D clustering scheme to increase the system rate. By analyzing the interplay between the D2D clusters and the arrival user who intends to join a D2D cluster, we present two attraction functions describing the mutual suitability by considering social interaction, energy balance, and location as well. Further, we formulate the probability of the arrival user joining a certain D2D cluster based on Chinese Restaurant Process (CRP) and utilize a matching function to assign an optimal D2D cluster for each arrival user. On the other hand, we also illustrate how the cluster head can be selected in a D2D cluster. Finally, numerical results demonstrate that our clustering scheme efficiently leads to a good performance on the system rate and the stability of D2D clusters.