Microstrip Patch Antenna Design for Fixed Mobile and Satellite 5G Communications

Rashmitha, R.K.; Niran, N; Jugale, Abhinandan Ajit; Ahmed, Mohammed Riyaz

doi:10.1016/j.procs.2020.04.223

Cited by 26 publications

(8 citation statements)

References 22 publications

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“…PSP is computed as revealed in Equation ( 6), where, 𝜃 = 377 and K 0 K 0 d are computed as revealed in Equations ( 7) and ( 8). In addition, PSUR is computed as revealed in Equation ( 9), where, x 0 is computed as shown in Equation (10), where x d 0 and x n 0 is computed as revealed in Equations ( 11) and (12). In Equation ( 12), 𝛼 0 is computed as in Equation ( 13) and 𝛼 1 is computed as in Equation (14).…”

Section: Objective Modelmentioning

confidence: 99%

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Hybrid optimization algorithm for optimal designing of microstrip patch antenna

Guttula

Ramesh

Mannepally

2023

Concurrency and Computation

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Microstrip Patch Antennas (MPAs) are generally renowned for their adaptability regarding feasible geometries, which makes them appropriate for numerous diverse conditions. The suitability to integrate and the trivial structure with microwave incorporated circuits was said to be the major advantage among several advantages. MPA poses constricted bandwidth; thus it has a complication while tuning. In addition, MPAs are renowned for their reduced gain. As a result, there is a necessity to raise the gain and bandwidth of MPA. This work intends to put forward a novel approach that gets a non-linear objective for assisting the modeling of solution spaces for antenna constraints. Thus, "Salp Swarm based Shark Smell Optimization (SS-SSO) that hybrids the concepts of Salp Swarm Algorithm (SSA) and Shark Smell Optimization (SSO)" is developed that tuned the constraints of MPA. The implication of the developed approach is to boost the antenna gain by optimal electing of dielectric value, patch length, substrate width, and thickness of MPA.

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Section: Objective Modelmentioning

confidence: 99%

“…Patch antenna was easier for designing, light weighted and every the areas/fields are distributed over the substrate, which is not costly 10,11 . With compacted dimensions and size, wide or broad bandwidth has to turn out to be a basic necessity in communiqués due to the rising count of users 12,13 …”

Section: Introductionmentioning

confidence: 99%

Hybrid optimization algorithm for optimal designing of microstrip patch antenna

Guttula

Ramesh

Mannepally

2023

Concurrency and Computation

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“…The obtained results are found to be satisfying the requirements of the 5G communication antenna. The antenna works at a resonating frequency of 43.7GHz [8].…”

Section: Introductionmentioning

confidence: 99%

Impedance Matching Simulation for Microstrip Antenna on Frequency 3.4-3.7 GHz Using Double Stub

Susilawati

Hasyim

2020

TELKA

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Impedance matching is an attempt to adjust the antenna impedance with the characteristic impedance of the transmission line. Impedance matching has functions to avoid reflected power from the antenna so that power cannot be received by the receiver. In this study, impedance matching was used double stub. The voltage standing wave ratio (VSWR) indicates how well the impedance matching is made. Simulation of this impedance matching will use to microstrip antenna on frequency 3.4 – 3.7 GHz. CST Studio Suite is used to simulating the antenna microstrip with double stub. Based on the result, this research shows that VSWR and return loss in single and double rectangular microstrip antenna have a better value if use impedance matching than without using impedance matching.

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“…ADMM is a distributed optimization algorithm well-suited for resource allocation problems in communication networks. It is advantageous when the optimization problem can be decomposed into smaller sub-problems [12].…”

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confidence: 99%

Multi-Beam Metasurface Control Based on Fre-quency Reconfigurable Antenna

2024

Informacije MIDEM

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This paper presents a new design and analysis of a reconfigurable antenna with a switchable slot held using PIN diodes for multifunction reconfiguration, including frequency multiplexing. The performance of the proposed antenna in terms of reflection coefficient spectra and radiation patterns is evaluated. From the results obtained, it is observed that the antenna can be operated for different frequencies: 1.8 GHz, 2.7 GHz, 3.1 GHz, 3.3 GHz, 4.1 GHz, 5.1 GHz, and 5.4 GHz. A maximum gain of 11.1 dBi is also significantly achieved at 5.1 GHz. Moreover, this antenna is designed to provide a high Q-factor and low-frequency ratio (FR) for using the spectrum efficiently. Upon the advantage of spatial diversity, multiple independent data streams can be transmitted over the same frequency simultaneously. All results obtained in this work were produced based on the simulation process using CST Microwave Studio simulator software at different switching scenarios.

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Microstrip Patch Antenna Design for Fixed Mobile and Satellite 5G Communications

Cited by 26 publications

References 22 publications

Hybrid optimization algorithm for optimal designing of microstrip patch antenna

Hybrid optimization algorithm for optimal designing of microstrip patch antenna

Impedance Matching Simulation for Microstrip Antenna on Frequency 3.4-3.7 GHz Using Double Stub

Multi-Beam Metasurface Control Based on Fre-quency Reconfigurable Antenna

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