Wearable 5-Gigahertz Wi-Fi Antenna Design Using Whale Optimization Algorithm

Boursianis, Achilles D.; Koulouridis, Stavros; Georgoulas, Dimitrios; Goudos, Sotirios K.

doi:10.23919/eucap48036.2020.9135735

Cited by 4 publications

(2 citation statements)

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“…In [72], the authors applied the WOA as an optimization technique to design and fabricate a quad H-slotted antenna at ISM (Industrial Scientific Medicine) frequency band of 2.45 GHz. The authors in [73] applied the WOA to design a planar inverted-F antenna (PIFA) for wearable wireless applications. Numerical results exhibited the validity of the proposed design structure.…”

Section: Related Workmentioning

confidence: 99%

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

et al. 2021

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Swarm Intelligence (SI) Algorithms imitate the collective behavior of various swarms or groups in nature. In this work, three representative examples of SI algorithms have been selected and thoroughly described, namely the Grey Wolf Optimizer (GWO), the Whale Optimization Algorithm (WOA), and the Salp Swarm Algorithm (SSA). Firstly, the selected SI algorithms are reviewed in the literature, specifically for optimization problems in antenna design. Secondly, a comparative study is performed against widely known test functions. Thirdly, such SI algorithms are applied to the synthesis of linear antenna arrays for optimizing the peak sidelobe level (pSLL). Numerical tests show that the WOA outperforms the GWO and the SSA algorithms, as well as the well-known Particle Swarm Optimizer (PSO), in terms of average ranking. Finally, the WOA is exploited for solving a more computational complex problem concerned with the synthesis of an dual-band aperture-coupled E-shaped antenna operating in the 5G frequency bands.

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Section: Related Workmentioning

confidence: 99%

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

et al. 2021

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“…Similarly, an improved binary WOA was proposed in [21] to increase the classification accuracy and dimensional reduction in the feature selection of intrusion detection. Especially for antenna design, the work in [22] presented an antenna optimized based on the WOA, which is suitable for the WiFi 5 GHz frequency band.…”

Section: Introductionmentioning

confidence: 99%

5G Channel Estimation Based on Whale Optimization Algorithm

Tran-Thi

et al. 2023

Wireless Communications and Mobile Computing

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This paper presents a novel approach, based on the whale optimization algorithm (WOA), for channel estimation in wireless communication systems. The proposed method provides a means to accurately estimate the wireless channel, while not requiring the statistical characteristics of the channel. This method uses the WOA to search for the best channel statistical characteristics toward the ultimate goal of having the smallest bit error rate (BER). The proposed approach is aimed at enhancing the efficiency of pilot-based OFDM systems under frequency-selective fading channels used in the performance testing of 5G New Radio gNodeB. In terms of BER and mean square error (MSE), the performance of the proposed WOA-based channel estimation algorithm is evaluated and compared with the conventional least square (LS) and minimum mean square error (MMSE) algorithms. The simulation results demonstrate that the proposed algorithm provides highly competitive performance over the MMSE algorithm and significantly outperforms the LS algorithm in a variety of system configurations. Since the requirement on prior channel statistics information makes the MMSE algorithm impractical or extremely complex, the proposed WOA-based channel estimation algorithm should be a suitable and promising candidate for dealing with channel estimation problems. The simulation framework is implemented in MATLAB and available upon request.

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Application of the Whale Optimization Algorithm to Antenna Design for mm-Wave 5G Communications Systems

Goudos

2021

Signals and Communication Technology

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Wearable 5-Gigahertz Wi-Fi Antenna Design Using Whale Optimization Algorithm

Cited by 4 publications

References 5 publications

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

5G Channel Estimation Based on Whale Optimization Algorithm

Application of the Whale Optimization Algorithm to Antenna Design for mm-Wave 5G Communications Systems

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