Design and analysis for effective proximal discovery in machine-to-machine wireless networks

The need to support a very large amount of machines in future cellular systems has motivated researchers to seek alternative approaches such as tiered or clustered communications to alleviate the bottleneck at the base station. To support such distributed approaches, however, it is often necessary for machines to communicate with each other for obtaining the required information without involving the base station. In this paper, we investigate effective device-to-device (D2D) communications for proximal discovery in machine-to-machine (M2M) wireless networks. We first show the problems with existing D2D proximal discovery algorithms and then propose an algorithm based on flexible resource block reselection to address the problems. We present the analytical models for the proposed algorithm and then present the simulation results to evaluate its performance. Compared with baseline algorithms, our evaluation results show that the proposed algorithm can achieve a higher discovery ratio using a very low amount of uplink resource blocks at the base station.