A Location-Aware Energy-Efficient Scheme for M2M Communications by Resource Efficiency Optimization

Fifth-generation (5G) permits user equipments (UEs) to communicate directly with one another for providing better service to the increasing number of UEs by reducing power consumption and improving resource efficiency (RE). As machine-to-machine (M2M) UEs (MUEs) use resource blocks (RBs) and produce interference, therefore how to assign the RBs properly is crucial. Hence, to locate an unknown machine (UM) in 5G is essential for facilitating the proper spectrum reuse in M2M communications. This paper proposes a location-aware mode selection based RE and energy efficiency (EE) optimization process for M2M communications over cellular networks using orthogonal resource sharing scheme. Firstly we develop a location-aware water filing algorithm based RE optimization process for cellular user equipments (CUEs) and EE optimization process for MUEs. RE optimization process provides available resources for CUE and then M2M pair reuses the residual spectrum in the proposed network. As a result, the water filling algorithm reduces the power consumption of UE as well as ensures satisfactory data rate which improves the EE. The proposed network is evaluated using extensive MATLAB simulation results which demonstrate that the proposed scheme provides a substantial improvement of the system performance.