• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2019, Volume: 12, Issue: 47, Pages: 1-7

Original Article

Optimization of Energy Efficiency in Massive MIMO System Review Using Wolfe Method


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


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