Energy-Efficient Throughput Maximization in mmWave MU-Massive-MIMO-OFDM: Genetic Algorithm based Resource Allocation Article Swipe

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Asil Koç , Farhan Bishe , Tho Le‐Ngoc · YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2202.09438

This paper develops a new genetic algorithm based resource allocation (GA-RA) technique for energy-efficient throughout maximization in multi-user massive multiple-input multiple-output (MU-mMIMO) systems using orthogonal frequency division multiplexing (OFDM) based transmission. We employ a hybrid precoding (HP) architecture with three stages: (i) radio frequency (RF) beamformer, (ii) baseband (BB) precoder, (iii) resource allocation (RA) block. First, a single RF beamformer block is built for all subcarriers via the slow time-varying angle-of-departure (AoD) information. For enhancing the energy efficiency, the RF beamformer aims to reduce the hardware cost/complexity and total power consumption via a low number of RF chains. Afterwards, the reduced-size effective channel state information (CSI) is utilized in the design of a distinct BB precoder and RA block for each subcarrier. The BB precoder is developed via regularized zero-forcing technique. Finally, the RA block is built via the proposed GA-RA technique for throughput maximization by allocating the power and subcarrier resources. The illustrative results show that the throughput performance in the MU-mMIMO-OFDM systems is greatly enhanced via the proposed GA-RA technique compared to both equal RA (EQ-RA) and particle swarm optimization based RA (PSO-RA). Moreover, the performance gain ratio increases with the increasing number of subcarriers, particularly for low transmission powers.

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preprint

Language

en

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http://arxiv.org/abs/2202.09438

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https://arxiv.org/pdf/2202.09438

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green

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1

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10

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https://openalex.org/W4221147569

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https://openalex.org/W4221147569

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DOI

https://doi.org/10.48550/arxiv.2202.09438

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Title

Energy-Efficient Throughput Maximization in mmWave MU-Massive-MIMO-OFDM: Genetic Algorithm based Resource Allocation

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preprint

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en

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2022

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2022-02-18

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Asil Koç, Farhan Bishe, Tho Le‐Ngoc

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https://arxiv.org/abs/2202.09438

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https://arxiv.org/pdf/2202.09438

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green

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https://arxiv.org/pdf/2202.09438

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Concepts

Subcarrier, Orthogonal frequency-division multiplexing, Computer science, Throughput, MIMO, Radio frequency, Precoding, Maximization, Baseband, Electronic engineering, Multiplexing, Resource allocation, Block (permutation group theory), Algorithm, Channel (broadcasting), Wireless, Mathematical optimization, Engineering, Computer network, Telecommunications, Mathematics, Geometry, Bandwidth (computing)

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Cited by

1

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2022: 1

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10

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