On Radio Resource Allocation in LTE Networks with Machine-to-Machine Communications

Abstract

The introduction of Machine-to-Machine (M2M) communications in cellular networks creates a whole new set of challenges due to the unique service requirements and features of M2M devices. One such challenge is the radio resource management, particularly on the uplink. The requirements of high energy efficiency coupled with diverse QoS requirements of M2M devices and conventional Human-to-Human (H2H) users complicate the resource allocation problem. In this paper, we address the issue of energy efficient radio resource allocation for M2M/H2H co-existence scenarios in LTE networks, while meeting the QoS requirements for different users. Our proposed algorithm shows encouraging performance in achieving the desired objectives, compared to existing algorithms in literature.