Performance Analysis of Cognitive Clustered Machine-to-Machine Networks with Device Selection

Abstract

In this paper, we consider cluster-based underlay Machine-to-Machine (M2M) communications and propose a joint Cellular User Equipment (CUE) and M2M device selection scheme to reduce the outage probability of M2M communications. We derive an analytical closed-form expression for the outage probability of transmission from a selected M2M device to the Base Station (BS). Simulation results confirm that the proposed CUE and M2M selection scheme achieves the lowest outage probability for M2M communications with interference to the BS being limited by a pre-defined level. Hybrid duplex BS communication can be switched between half and full duplex according to different levels of residual self-interference to achieve the best performance. Numerical simulations are included to verify the accuracy of the theoretical analysis of the proposed scheme. The proposed model given in this paper and its related analysis pave the way for further work in this important area.