A QoE preserving M2M-aware hybrid scheduler for LTE uplink

The 4^th Generation (4G) Long Term Evolution (LTE) wireless networks are expected to be used for the majority of Machine to Machine (M2M) communication. M2M communication over 4G networks faces some challenges. The main challenge is how to accommodate the massive number of M2M devices without negatively impacting the human subscribers´ Quality of Experience (QoE). This paper discusses the challenges of scheduling UEs and M2M terminals in LTE networks. The LTE scheduler plays an important role in distributing radio resources to user equipments (UEs) and M2M terminals. We present a hybrid uplink scheduler that balances the radio resources allocation to preserve human users QoE and fairly fulfills M2M terminals communication requests. The simulation results show that the proposed solution provides fair scheduling of M2M terminals without impacting the UE.