A Novel Dual Band Antenna Design for WiFi Applications Using Genetic Algorithms

Derbal, Mohammed Chérif; Zeghdoud, Abdelbaki; Nedil, Mourad

doi:10.1109/apusncursinrsm.2018.8609428

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…In [5], both channel selection and the QoS of WLAN requirements were jointly optimized, while the authors in [4] suggested using GA to consider additional metrics such as capacity, cost, coverage, and interference. Apart from node placement optimization, GA in WLAN design can also be included in the design of patch antennas [12,13] as well as the handover process between Wi-Fi and LTE in the unlicensed spectrum, as described in [14]. So far, we have not seen any work that mentions the use of GA during the Wi-Fi tuning phase.…”

Section: Preliminary Studymentioning

confidence: 99%

On Optimizing WiFi RSSI and Channel Assignment using Genetic Algorithm for WiFi Tuning

Apavatjrut

Kamdee

2021

ECTI-EEC

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In this work, we proposed a genetic algorithm-based Wi-Fi-tuning platform that could facilitate the network administrators to cope with co-channel interference triggered by other wireless sources. Generally, with a well-designed WLAN, signal interference from adjacent areas is usually minimized. Unfortunately, when other wireless sources are introduced into the WLAN system, co-channel interference is inevitable. Interference usually causes degradation and/or disruption of network services. Resolving this issue becomes even more complicated when the interfering signals come from access points owned by other ISPs and are not accessible by the network administrators. This paper proposed a Wi-Fi tuning platform that allowed automatic reconfiguration of WLAN settings by finding the best settings for channel assignment and transmission power level. When signal interference is detected, the platform attempts to find heuristic solutions for wireless settings based on a genetic algorithm. From our experiments, we could see that our proposed algorithm could regenerate WLAN settings that provided stronger signal levels, higher coverage ranges while reducing interference levels in the deployment area. With the proposed platform, troubleshooting became less complicated, requiring less cost and time. With the help of the Wi-Fi tuning platform, the network administrators could promptly react to the incidence leading to the enhancement of availability, reliability, and consistency of the WLAN system.

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Section: Preliminary Studymentioning

confidence: 99%

On Optimizing WiFi RSSI and Channel Assignment using Genetic Algorithm for WiFi Tuning

Apavatjrut

Kamdee

2021

ECTI-EEC

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“…The GA was developed to optimize the rectangular unit cell to allow the antenna operating at 3.5 GHz and 5.8 GHz while providing a maximum realized gain at both bands. The optimization procedure is detailed in [13].…”

Section: Antenna Designmentioning

confidence: 99%

A High Gain Dual Band Rectenna for Rf Energy Harvesting Applications

Derbal¹,

Nedil²

2020

PIER Letters

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In this article, a high gain dual band rectenna is proposed for energy harvesting applications. A dual band antenna is designed and optimized to operate at 3.5 GHz and 5.8 GHz frequency bands. The antenna is based on a multilayer substrate structure excited by aperture-coupling feed. In order to achieve a maximum gain of the antenna in both bands, a rectangular cell optimized by genetic algorithms is etched on the radiating element (patch). This antenna was simulated and fabricated, and the results show a good agreement in both bands (3.5 and 5.8 GHz) with a high gain of 10.2 dBi and 8.92 dBi for the first and second bands, respectively. A dual-band rectifier is also designed and studied to harvest the radio frequency energy absorbed by the antenna to DC energy at these frequency bands (3.5 GHz and 5.8 GHz). This rectifier shows a good performance in terms of conversion efficiency which achieves 44% in the first band and 29% in the second band. As a result, an output voltage of 656.88 mV for a low input power of 0 dBm is observed when the rectifier operates at both bands.

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“…This is especially useful in certain energy harvesting application scenarios, such as passive UHF RFID, where devices are solely powered by the electromagnetic radiation from an external transmitter. Previous studies have reported on the gain enhancement of (pixelated) antennas using GAs [14,15]; however, the antenna gain was not used as a target function for optimization. As in other studies, the reflection coefficient was used and the influence of the optimization procedure on the gain was investigated.…”

Section: Introductionmentioning

confidence: 99%

Effects of Symmetry Restriction on the Antenna Gain Optimized Using Genetic Algorithms

et al. 2023

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Automated design techniques for antennas are highly interesting regarding their ability to cut down on development time and their overall importance for communication technology. Sub-dividing a given area into individual pixels renders methods such as genetic algorithms possible, which enables an automated optimization process by evolutionary methods. While there are many examples in the literature that use this approach, most of them use the reflection coefficient as the optimization goal. Although this yields satisfying antennas for a variety of different applications, this approach generally does not achieve high directivities or antenna gains. In this work, we present the evolutionary optimization of antenna gain for pixelated antennas and the effect of symmetry restriction on the optimized topologies.

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A Novel Dual Band Antenna Design for WiFi Applications Using Genetic Algorithms

Cited by 9 publications

References 5 publications

On Optimizing WiFi RSSI and Channel Assignment using Genetic Algorithm for WiFi Tuning

On Optimizing WiFi RSSI and Channel Assignment using Genetic Algorithm for WiFi Tuning

A High Gain Dual Band Rectenna for Rf Energy Harvesting Applications

Effects of Symmetry Restriction on the Antenna Gain Optimized Using Genetic Algorithms

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