A novel Energy-efficient Resource Allocation algorithm for Non-orthogonal Multiple Access (NOMA) based M2M communication

Over recent years, Non-orthogonal multiple access is gaining prime importance for its superior spectral efficiency and massive connectivity in 5G communication. Future generation wireless networks are anticipated to undergo severe constraints in addressing the massive connection of M2M devices. In order to effectively meet out the demands of massive connectivity of Machine type communication devices (MTCDs), NOMA can be considered as a promising optimal technique to address the increasing number of user connectivity. Most of the recent works aimed at resource allocation based on sum-rate maximation and fair scheduling. As far as M2M communication is concerned, the Energy minimization problem needs to be given prime significance due to the fact that MTCD's are always configured with low power consumption. Hence in this paper, a novel energy-efficient resource allocation algorithm is considered to optimize the energy efficiency of NOMA based M2M communication using Improved Rider optimization technique. Simulation results show that the proposed system can efficiently improve energy consumption over existing systems.