Relevance of Energy Efficiency Gain in Massive MIMO Wireless Network

Abstract

Abstract-The massive MIMO and energy efficiency (EE) analysis for the next generation technology are the hottest topics in wireless network research. This paper explains about massive MIMO wireless networks and EE for manifold channel which is an evolution massive MIMO. This research will help to design and implement a practical system of next generation network based on massive MIMO where efficient processing provides EE gain. In order to approach this research, different types of manifolds are considered with efficient techniques that depend on the rank of the channel matrix. Employing the specific manifold that helps to analyze the rate of the feedback increases not only the overall performance of the MIMO system but also the EE. We studied the convergence techniques used for optimizing quantization errors which have influences with manifold feedback. Here, we have focused on relevant areas which are very important to analyze EE gain in the future massive network. According to the selected results obtained in this research, many challenges will be possible to make useful proposals.

Improvement of 5G Transportation Services with SDN-Based Security Solutions and beyond 5G

“…With 5G and beyond, energy-efficient management will be a significant challenge. Traffic monitoring, analysis, and measurement are some concepts considered when femtocells are employed in 5G networks [31]. Different traffic models, such as dynamic and static models described in [32], allow us to develop a new approach that provides efficient traffic management.…”