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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2020

30.09.2019

Meta-heuristic Algorithm Based Precoding in Massive MIMO

verfasst von: Saurabh Manilal Patel, Kiritkumar Ramanbhai Bhatt

Erschienen in: Wireless Personal Communications | Ausgabe 2/2020

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Abstract

In last few years there is escalating growth of teletraffic accompanied with higher power emission resulting in increased global carbon footprint. But as evolution of a technology should be in harmony with environment, controlling transmission energy at base station and mobile phones becomes mandatory. Therefore novel Beamforming technique or precoding technique is a desideratum at receiver as well as transmitter side. This technique searches for receivers and tracks optimal solution for enhancement of power efficiency, signal to interference noise ratio (SINR) and half power beam width. This paper proposes an integration of evolutionary algorithms and standard beamforming techniques such as least mean square (LMS) and recursive least square (RLS). To solve the global optimization problem, evolutionary algorithms such as particle swarm optimization (PSO), non-dominated sorting genetic algorithm, BAT and Firefly are used. The MATLAB simulation of the proposed fusion of LMS and RLS with evolutionary optimization algorithms has shown improvement in power and SINR which resulted in achieving less bit error rate. The results have shown reduction in mean square error (MSE) and improvement in cost function by 89%.
Vorheriger Artikel Iterative Clustering for Energy-Efficient Large-Scale Tracking Systems
Nächster Artikel Analytical and Experimental Investigation of Ultra Wideband Channel Characteristics in the Presence of Door/Window Glass

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Metadaten
Titel
Meta-heuristic Algorithm Based Precoding in Massive MIMO
verfasst von
Saurabh Manilal Patel
Kiritkumar Ramanbhai Bhatt
Publikationsdatum
30.09.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06752-w

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