Unconstrained Quantum Genetic Algorithm for Massive MIMO System

Sabaawi, Abdulbasit M A; Almasaoodi, Mohammed R.; Gaily, Sara El; Imre, Sándor

doi:10.1109/contel58387.2023.10198943

Cited by 4 publications

(3 citation statements)

References 27 publications

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“…We believe that the suggested quantum strategy is a viable alternative search solution in an enormous, unsorted database, and it can be applied in a wide range of applications, such as signal processing, bioinformatics, energy, etc. This work is an expansion of previously published research [14][15][16][17][18][19][20][21].…”

Section: Innovative Contributions and Organisationmentioning

confidence: 99%

Energy efficiency optimisation in massive multiple‐input, multiple‐output network for 5G applications using new quantum genetic algorithm

Sabaawi,

Almasaoodi,

El Gaily

et al. 2023

IET Networks

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Devising efficient optimisation methods has been a subject of great research attention since current evolving trends in communication networks, machine learning, and other cutting‐edge systems that need a fast and accurate optimised computational model. Classical computers became incapable of handling new optimisation problems posed by newly emerging trends. Quantum optimisation algorithms appear as alternative solutions. The existing bottleneck that restricts the use of the newly developed quantum strategies is the limited qubit size of the available quantum computers (the size of the most recent universal quantum computer is 433 qubits). A new quantum genetic algorithm (QGA) is proposed that handles the presented problem. A quantum extreme value searching algorithm and quantum blind computing framework are utilised to extend the search capabilities of the GA. The quantum genetic strategy is exploited to maximise energy efficiency at full spectral efficiency of massive multiple‐input, multiple‐output (M‐MIMO) technology as a toy example for pointing out the efficiency of the presented quantum strategy. The authors run extensive simulations and prove how the presented quantum method outperforms the existing classical genetic algorithm.

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Section: Innovative Contributions and Organisationmentioning

confidence: 99%

Energy efficiency optimisation in massive multiple‐input, multiple‐output network for 5G applications using new quantum genetic algorithm

Sabaawi,

Almasaoodi,

El Gaily

et al. 2023

IET Networks

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“…The fundamental principles of quantum mechanics form the basis of quantum communication, which drives the development of advanced technologies like quantum key distribution (QKD). QKD has the potential to achieve encryption that is theoretically impossible to break [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…This framework can also be shown by making a unitary matrix, which encapsulates the transformation's essence in a linear algebraic format that keeps the quantum state's norm and lets amplitudes be interpreted in terms of probability [13].…”

Section: Introduction To Quantum Fourier Transformmentioning

confidence: 99%

Exploiting OFDM method for quantum communication

Sabaawi,

Almasaoodi,

Imre

2024

Quantum Inf Process

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Orthogonal frequency-division multiplexing (OFDM) is a crucial modulation method used in contemporary digital communication systems for its significant spectral efficiency, low latency, and robustness in challenging environments. This work examines the novel use of OFDM in quantum communication, an area that offers exceptional security and efficiency in information transfer using quantum mechanics principles. In the rapidly evolving field of quantum computing, understanding, and mitigating quantum bit errors is paramount. This paper presents a rigorous analysis of bit error rates (BER) in quantum circuits, focusing on the impact of the quantum Fourier transform and its inverse, contrasted against quantum circuits employing dynamic gate sequences. Our research methodology encompasses simulations over a diverse set of parameters, including varying qubit counts ranging from 2 to 8 and theta angles (15, 30, 45, and 60°), as well as random theta values, utilizing the advanced capabilities of the Qiskit framework. Our findings indicate that quantum OFDM substantially improves quantum communication, lowering errors and boosting security. The quantum model outperforms the reference model in BER, with further enhancements as qubits increase.

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