Resource allocation for M2M-enabled cellular network using Nash bargaining game theory

Abstract

Machine-to-machine (M2M) communication is the form of communication among devices, which are the application of direct communication technology in particular case. For effectively improving the spectral efficiency and the performance of cellular networks by using M2M communication, this study investigates the resource allocation scheme to optimize the transmission performance of the M2M communication and cellular services from a Nash bargaining game theory point of view, which is a strong NP-hard problem. Firstly, we prove the existence of the Nash bargaining solution (NBS). To make the problem more tractable, we decompose it into two subproblems, namely, channel assignment subproblem and power allocation subproblem. The resource allocation scheme fully considers the quality requirements of cellular services and the performance of M2M service. Simulation results demonstrate that proposed resource allocation scheme results in improvement of system throughput and good adjustment effect on transmission performance of communication service.