Design of hexa-band planar inverted-F antenna using hybrid BSO-NM algorithm for mobile phone communications

Mahmoud, Korany R.; Montaser, Ahmed M.; El-Mikati, H.A.

doi:10.1002/mmce.20656

Cited by 9 publications

(9 citation statements)

References 19 publications

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“…R 1 , and R 2 are two random numbers in the range [0,1], ω is the inertia weight introduced to balance between the global and local search abilities. The brief pseudo-code of the BSO algorithm and the flowchart of the algorithm are illustrated in [21,22].…”

Section: Bacterial Swarm Optimization Linked With Fem Simulatormentioning

confidence: 99%

Section: Introuctionmentioning

confidence: 99%

“…In [21], a hybrid approach involving Bacterial Swarm Optimization (BSO) and Nelder-Mead (NM) algorithm is considered to optimize the dimensions of a bow-tie antenna to resonate at 2.45 GHz. In [22], the hybrid approach BSO-NM algorithm in Matlab code is linked to the CST Microwave studio software to simulate the design of a hexa-band PIFA antenna.In this paper, the BSO in Matlab code combined with the finite element method based simulator, HFSS, to design and optimize the proposed UWB antenna. The BSO is an external optimizer and linked with the Finite Element Method simulator (Ansoft HFSS simulator) to design the antenna with the required characteristics.…”

mentioning

confidence: 99%

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B13. Design of Notched Ultra-wideband Antenna with Irregular Radiator Shape Using Bacterial Swarm Optimization (BSO) Algorithm

Zainud-Deen

Shaker

Mahmoud

2013

2013 30th National Radio Science Conference (NRSC)

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In this paper, the Bacterial Swarm Optimization (BSO) is linked with the Finite Element Method (FEM) simulator (Ansoft HFSS simulator) to design a notched ultra-wideband antenna with an irregular shape radiator for ultra-wideband (UWB) applications. The proposed antenna has a compact substrate size of 30 mm by 30 mm and 1.6 mm thickness. The optimized antenna can cover the spectrum of UWB (from 3.1 GHz to 10.6 GHz) with notched band from 5 GHz to 6 GHz for WLAN service (5.15-5.825 GHz) achieved by attaching U-shape slot on the radiator element. The results are compared with that calculated by the Finite integration technique (FIT) method and with the measured results. Good agreement is obtained. The proposed antenna shows acceptable gain flatness with stable omnidirectional radiation patterns across UWB bands. Keyword: UWB-BSO-FEM-FIT-notched UWB. INTROUCTIONRecently, ultra-wide band (UWB) technology has been attracting much attention for communication systems especially since the U.S. Federal Communications Commission (FCC) began allowing use of the band from 3.1 to 10.6 GHz for commercial applications [1]. UWB systems have widely been exploited in the wireless short-range high throughput communication operating over the same frequency range. To satisfy such requirement, various UWB antennas have been studied [2][3]. Planar monopole antennas are very suitable for UWB applications [4]. However, due to the overlap of currently allocated UWB frequency band with the existing wireless local area network (WLAN) (5.15 -5.825 GHz), special characteristics such as band notch are much desired for UWB antennas to reduce the interference between those two communication systems [5][6]. Accordingly, an ultra-wide band antenna with a band-notch characteristic can be an alternative choice to the use of a distinct stopband filter in the system. One simple way is to etch thin slots in the antenna surface [7] to achieve the band-notched characteristic.During the last decades various optimization techniques like Genetic Algorithm (GA), and Particle Swarm Optimization, in addition to many hybrid optimization methods have been used for optimizing parameters in the antennas and antenna array problems [8][9][10][11][12]. Another method known as Bacteria Foraging Algorithm (BFA) that is based on the foraging behavior of Escherichia Coli (E. Coli) bacteria present in the human intestine [13] has already been used to many engineering problems including antenna design and antenna arrays [14][15][16][17]. In [18], the BFA is oriented by Particle Swarm Optimization (PSO) to combine both algorithms' advantages, which is called the BSO algorithm. This combination aims to make use of the PSO ability to exchange social information and the BFA ability in finding a new solution by elimination and dispersal [19][20]. It is found that, the overall performance of the BSO algorithm is definitely better than the stand alone BFA on the numerical benchmarks tested and at least comparable with PSO and its variants. In [21], a hybrid approach involving Bac...

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Section: Bacterial Swarm Optimization Linked With Fem Simulatormentioning

confidence: 99%

Section: Introuctionmentioning

confidence: 99%

mentioning

confidence: 99%

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B13. Design of Notched Ultra-wideband Antenna with Irregular Radiator Shape Using Bacterial Swarm Optimization (BSO) Algorithm

Zainud-Deen

Shaker

Mahmoud

2013

2013 30th National Radio Science Conference (NRSC)

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“…As explained in previous literatures [6,[17][18][19], better results can be achieved using hybrid method combining two algorithms, global metaheuristics and local search algorithm. The global metaheuristics is used as an efficient algorithm to localize the "best" areas and the local search method is used to refine the results.…”

Section: Introductionmentioning

confidence: 99%

“…The BSO-NM algorithm has produced results better than those generated by stand-alone BSO algorithm. In order to emphasize the benefits of using such hybrid algorithms, the hybrid CFO-NM and BSO-NM algorithms are considered to optimize the design of tri-band slotted bow-tie antenna and hexa-band planar inverted-F antenna, respectively, in [18,19]. This paper presents an approach for hybrid parallel GSA-NM algorithm implementation using Open-MP on multi-core processors for beamforming synthesize.…”

Section: Introductionmentioning

confidence: 99%

Parallel Implementation of Hybrid Gsa-Nm Algorithm for Adaptive Beam-Forming Applications

Mahmoud¹,

Hamad²

2014

PIER B

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Abstract-Recently researchers have great interest in using multi-core processors for applications requiring intensive parallel computing. In this paper, an approach for the implementation of hybrid parallel Gravitational Search Algorithm (GSA) and Nelder-Mead (NM) algorithm using open MultiProcessing (OPEN-MP) on multi-core processors is proposed for beam-forming applications. The proposed parallel GSA-NM algorithm is used to optimize the complex excitations, amplitudes and phases, of the adaptive array elements to synthesize the array beam-pattern. The array consists of 24-elements uniformly distributed in a circular configuration. To measure the performance of the proposed approach, the results are compared with those obtained using parallel hybrid CFO-NM, and PSO-NM Algorithms.

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Antenna current optimization for optimal antenna design in different frequency bands using VSO-NM algorithm

Montaser

Mahmoud

2017

Int J RF Microw Comput Aided Eng

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In this article, the antenna partial gain to Q-factor based on the antenna current optimization is used as figure of merit for antenna design proposing an efficient global hybrid technique that combining very simple optimization (VSO) and Nelder-Mead (NM) algorithm. To validate the strength of the approach, a set of three antennas operating within different frequency bands of super high frequency, submillimeter, and light spectrum are addressed and optimized. The antennas are analyzed completely using finite difference time domain method. The results showed the strength of the approach of optimizing antenna gain to Q-factor based on antenna current optimization using the hybrid VSO-NM algorithm in different frequency bands. Compared to stand-alone VSO, the hybrid VSO-NM algorithm showed the ability to reduce the processing time on average by 58.73% in addition to enhancing the search capability by 43%. K E Y W O R D S current optimization, Nelder-Mead algorithm, patch antenna, very simple optimization Int J RF Microw Comput Aided Eng. 2017;27:e21104.

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Design of hexa-band planar inverted-F antenna using hybrid BSO-NM algorithm for mobile phone communications

Cited by 9 publications

References 19 publications

B13. Design of Notched Ultra-wideband Antenna with Irregular Radiator Shape Using Bacterial Swarm Optimization (BSO) Algorithm

B13. Design of Notched Ultra-wideband Antenna with Irregular Radiator Shape Using Bacterial Swarm Optimization (BSO) Algorithm

Parallel Implementation of Hybrid Gsa-Nm Algorithm for Adaptive Beam-Forming Applications

Antenna current optimization for optimal antenna design in different frequency bands using VSO-NM algorithm

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