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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2021

22.11.2020

Enhancement of Efficiency and Performance Gain of Massive MIMO System Using Trial-Based Rider Optimization Algorithm

verfasst von: Satyanarayana Murthy Nimmagadda

Erschienen in: Wireless Personal Communications | Ausgabe 2/2021

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Abstract

Massive multiple-input multiple output (mMIMO) is considered as one of the most in demand and innovative technologies for the fifth-generation wireless communication systems. This paper attempts to frame a mMIMO system model, intends to improve the spectral efficiency, energy efficiency and performance gain. Here, the system performance achievements are premeditated in a multi-cell downlink mMIMO system under the core considerations such as “imperfect channel estimation, perfect channel estimation and the effect of interference among cells due to pilot sequences contamination”. The performance gains such as “spatial multiplexing gain, array gain and spatial diversity gain” are considered to maximize in this paper. For attaining this multi-objective function, an improved meta-heuristic algorithm called rider optimization algorithm (ROA) known as trial-based ROA adopted, and analyse the performance of the proposed model by comparing over existing models.
Vorheriger Artikel Reducing Search Area in Indoor Localization Applications
Nächster Artikel Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs

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Metadaten
Titel
Enhancement of Efficiency and Performance Gain of Massive MIMO System Using Trial-Based Rider Optimization Algorithm
verfasst von
Satyanarayana Murthy Nimmagadda
Publikationsdatum
22.11.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07921-y

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