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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 8/2022

24.01.2022 | Research Article-Computer Engineering and Computer Science

Spectrum Allocation in Cognitive Radio Networks Using Gene Therapy-Based Evolutionary Algorithms

verfasst von: Wangjam Niranjan Singh, Ningrinla Marchang

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 8/2022

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Abstract

Cognitive radio technology can be utilized to make optimal use of spectrum. Spectrum allocation is a critical operation for assigning appropriate idle-free frequency bands to the unlicensed users while reducing interference among all the users. The goal is to maximize the utilization of the available spectrum, and this problem is shown to be NP-hard which needs to be solved in real time. Accordingly, many evolutionary methods have been employed in the past to tackle the spectrum assignment problem, including genetic algorithm (GA) and differential evolution (DE). In this paper, a gene therapy method is proposed and applied to the genetic algorithm and differential evolution algorithm. The proposed algorithms’ effectiveness is evaluated using three utilization functions, namely max–sum reward (MSR), max–min reward (MMR), and max proportional fair (MPF). Gene therapy-based GA and DE outperform conventional GA and DE in terms of high convergence speed and quality of solution, according to the extensive simulation results.
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Metadaten
Titel
Spectrum Allocation in Cognitive Radio Networks Using Gene Therapy-Based Evolutionary Algorithms
verfasst von
Wangjam Niranjan Singh
Ningrinla Marchang
Publikationsdatum
24.01.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 8/2022
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-06543-1

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