Optimization of energy and spectral efficiency of massive MIMO-small cell system

Current wireless world demands energy efficiency networks due to limited power resources at mobile nodes in a contingency of universal energy saving. This is achieved by employing more effective and efficient resource allocation algorithms for power minimization. This paper considers mainly minimizing power by the process of non coherent convex optimization for massive Multi input and Multi output (MIMO) antenna systems. We presented small cell access (SCA) points combined with massive- MIMO networks to improve spectral efficiency in a macro cell environment. We proposed a novel non convex low complexity RZF beamforming technique for power optimization with soft cell coordination. The total power consumption includes both dynamic and static power allocation. Thus, there is need for minimizing and optimizing the total power consumption without compromising Quality of service(QOS) constraints. The results were simulated by using with MATLAB 2014a.