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Research Article Open access CC BY 4.0

Energy and Spectral Efficiency Optimization Methods in 5G Massive Mimo Systems

Attougbre Djanan, Moustapha Diaby, Adama Coulibaly

Journal of Advances in Mathematics and Computer Science · pp. 44–56 · Published 30 Jul 2022

10.9734/jamcs/2022/v37i630460

Abstract

Radio technologies are driven by a never-ending quest for capacity and thus high throughput, associated with a constant need to improve the quality of the transmission. Thus, the massive MIMO (Multiple Input Multiple Output) technology has been found to be a powerful system to optimize the trade-off between energy and spectral efficiency in fifth generation (5G) cellular networks. In this work, we analyse the trade-off  between energy efficiency and spectral efficiency for massive MIMO in wireless communication networks in relation to the power allocation problem. Also authors normalize the energy and spectral efficiency to make them comparable and convert the MOO problem into a single object optimization (SOO) problem by the weighted product scalarization method. Finally, the objective function of this SOO problem, i.e. the energy and spectral efficiency trade-off metric which characterised, is quasi-concave with the emission power and we obtain a unique globally optimal solution. The numerical results attest to the performance of the proposed method.

Optimization pareto trade-off MIMO spectral efficiency energy efficiency scalarization method

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Cited by 5

Reference Point MCDM Algorithm for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems

Eni Haxhiraj, Ina Papadhopulli, Elson Agastra · IEEE Access · 2025

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