Relevance of Energy Efficiency Gain in Massive MIMO Wireless Network

Ahmed Alzahrani,Vijey Thayananthan,Muhammad Shuaib

doi:10.14569/ijacsa.2017.081246

Ahmed Alzahrani, Vijey Thayananthan + Show 1 more

Open Access

https://doi.org/10.14569/ijacsa.2017.081246

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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.

Highlights

Concept of basic MIMO system has been used in many applications for many decades but its design concept used in wireless networks is growing with generation technology
To reduce the rank and dimension, Stiefel manifold can be employed in the feedback channel of the MIMO scheme
Pn-manifolds can be used in the MIMO channel through the feedback link where quantization technique is applied to characterize channels mathematically

Summary

Introduction

Concept of basic MIMO system has been used in many applications for many decades but its design concept used in wireless networks is growing with generation technology. The EE concepts are very attractive because they are used for the cost reductions, and they are very useful to increase the lifetime of the components used in massive MIMO wireless networks. Massive MIMO wireless networks and communication systems are implemented with a large number of antennas in multi-channel environments [1]. Channel used in massive MIMO should be maintained because EE gain depends on the dynamic and statistic behavior of the channel. The optimal feedback design using appropriate manifolds and massive MIMO can be analyzed through energy-efficient algorithms depended on the channel matrix, which needs a manifold to improve the rank and dimension of the covariance matrix [3], [4]. Complexity is a serious concern for massive MIMO because the dimension of the matrix is influenced directly

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Conclusion