A Dynamic Permission Probability Control for Packet Reservation Multiple Access in Cognitive Machine-to-Machine Networks

Abstract

It is critical for machines in cognitive radio based machine-to-machine networks to efficiently utilize idle radio bands, efficiently utilize energy and alleviate the radio interference of primary users. In this paper, we propose a dynamic permission probability control for packet reservation multiple access in cognitive radio based machine type communication networks. Using the proposed permission probability control, a machine could take into account the interference of primary users to dynamically adjust the permission probability such that more data can be sent while radio interference is alleviated. Simulation results show that the proposed dynamic permission probability can increase utilization of time slots (or throughput) and efficiency of power usage under the constraint of interference ratio.