Abstract

Objectives: This research study presents 5G technology of Massive MIMO system for its spectral and energy efficiency benefits for single antenna equipped receiver for maximal ratio combiner and zero-forcing precoding techniques in perfect and imperfect CSI conditions. We consider a cellular system for single and multiple cells. We show optimization for energy efficiency at constant spectral efficiency. Methods/statistical analysis: Massive MIMO system implementation with M number of the antenna at the base station and singe antenna at the receiver. Study of receiver’s precoding techniques like maximal ratio combiner and zero-forcing for energy and spectral efficiency. Wolfe optimization technique of nonlinear programming used to maximize energy at constant spectral efficiency. Findings: The resulting graph shows that massive MIMO improves spectral and energy efficiency for both MRC and ZF precoding. Energy Efficiency performance for ZF and MRC precoding techniques with the number of antennas in uplink communication of massive MIMO system gives that user power requirement reduces as a number of antennas grows. In perfect CSI condition, it reduces by 1/M and imperfect CSI condition scale down by factor 1/√M. Matlab contour graph gives optimized values for energy efficiency for constant spectral efficiency. Application/improvements: efficient design of cellular communication for spectral and energy usage. Soft computing techniques can give batter results.Keywords: Massive MIMO, Energy Efficiency, Optimization, Wolfe

Highlights

  • Cellular communication is the fastest growing network which is making our world easier providing any time anywhere services

  • Massive MIMO system referred to as large numbers of antennas arrangement MIMO, is a form of multiuser MIMO in which the number of antennas present at the base station is much larger than the number of user equipment per signaling resource

  • Energy Efficiency performance for ZF and maximum ratio combining (MRC) precoding techniques with the number of antennas in uplink communication of massive MIMO system gives that user power requirement reduces as the number of antennas grows

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Summary

Introduction

Cellular communication is the fastest growing network which is making our world easier providing any time anywhere services. Massive MIMO System has a very large number of antenna array at the base station (approximately 50 to 200) These large number of antennas at the base station gives huge spatial multiplexing gain It increases cellular network capacity by several folds to the current system (LTE, 4G). In the massive MIMO cellular system, researchers are proposing their solution to increase the data rate, coverage area and energy efficiency. Ngo et al consider the uplink MU-MIMO system in perfect CSI and Imperfect CSI condition with linear precoding for calculating spectral and energy efficiency. Both efficiency increase as we increase the number of antennas at the base station.

Perfect CSI
Massive MIMO Model
Imperfect Channel State Information
D Eu L v p
Multiple Cell M-MIMO System r11
Spectral Efficiency and Energy
Optimization for Energy Efficiency
Conclusion
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