Network access for M2M/H2H hybrid systems: a game theoretic approach

Long Term Evolution-Advanced (LTE-A) is prospering as one of the promising mobile communication systems. In the near future, it is expected that in addition to traditional humanto- human (H2H) communications, an LTE-A system needs to support many applications with the technique of machine type communications (MTC), or machine-to-machine communications (M2M). Since M2M features a large number of devices, a mechanism to guarantee the performance of H2H and M2M in the random access procedure of LTE-A (RACH procedure) should be considered. However, little research provides dynamic RACH resource allocation approaches for H2H and M2M. In this paper, we propose a game-theoretic framework, which divides its random access resources into three groups: for H2H, for M2M, and for the hybrid usage. Under this framework, the Nash Equilibrium (NE) guarantees the system throughput by adaptively redistributing the traffic loading, and the NE can be approached rapidly even if the information of traffic loading is quite limited.