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All Journal Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advanced Science and Computer Applications
Chihab, Younes
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Particle swarm optimization for beamforming design in a cognitive radio Atzemourt, Mossaab; Chihab, Younes; Bencharef, Omar; Hachkar, Zakaria
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp154-163

Abstract

Beamforming is essential for improving transmission in wireless sensor networks (WSNs), particularly in cognitive radio networks (CRNs) with several secondary users (SU) equipped with transmitting antennas. Optimizing beamforming while minimizing interference with primary users (PU) is of great interest. This study proposes an improved particle swarm optimization (PSO) algorithm to enhance beamforming performance. This approach aims to maximize the power of the beam directed to the SU receiver while controlling interference in the PU protection region. The results show that this algorithm constantly improves beam focus and signal-to-noise ratio to effectively optimize beamforming. Firstly, beam focusing becomes narrower as the number of antenna elements increases, generating optimal transmission conditions. Secondly, the algorithm achieves a considerable improvement in signal-to-noise ratio as the number of antenna elements increases. Furthermore, optimization performance improves as the number of antenna elements increases, as shown by the best fitness values. The simulations also illustrate the performance of the proposed method.
Examining Blockchain Platforms: Finding the Perfect Fit for Various Topics El Mane, Adil; Chihab, Younes
International Journal of Advanced Science and Computer Applications Vol. 5 No. 1 (2026): March 2026
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v5i1.89

Abstract

This research compares some of the most well-liked Blockchain platforms. Depending on the orientation and the target domain, it greatly varies from one to the next. To offer readers a thorough grasp of the advantages and disadvantages of each platform, essential elements, including scalability, security, interoperability, and administration, are explored. The researchers who want to investigate the best user interface for developing and generating their Blockchain architecture quickly, analysing the nodes, saving transactions, and spreading data to all network members will benefit from comparisons between Blockchain platforms before and after. This paper will assist researchers in learning more about Blockchain platforms, their configuration/installation difficulty, and other details like the programming languages used in the structure, the description, and the outcome of a medium to expert IT researcher and the challenges that surpass him during the installation phase. Researchers will value this concept since it will save them money and time.
Co-Authors Atzemourt, Mossaab Bencharef, Omar El Mane, Adil Hachkar, Zakaria