A Compact High Gain Printed Antenna with Frequency Selective Surface for 5G Wideband Applications

Author:

Kapoor A.,Mishra R.,Kumar P.

Abstract

In this article, a frequency selective surface (FSS) based compact wideband printed antenna radiator with improved gain and directivity is proposed for sub-6 GHz 5G wireless networking applications. Due to their inherent property of possessing spatial filtering characteristics, FSSs are attracting the interest of researchers. An approach for increasing the gain and the directivity by integrating a band pass FSS on a compact built patch antenna radiator is proposed here. The architecture equations for designing the band pass FSS using double square loop geometry are defined. The printed patch antenna radiator (PAR) and a double square loop frequency selective surface (DSLFSS) are designed and integrated. The simulation results are verified using the results from the measuring setup. The output response is giving a fractional bandwith of 19.14% with 5.5 dBi gain and 6.2 dBi of directivity and thus makes it the good choice for 5G applications.

Publisher

Advanced Electromagnetics

Subject

Electrical and Electronic Engineering,Radiation,Electronic, Optical and Magnetic Materials

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancements in Patch Antenna Design for Sub-6 GHz 5G Smartphone Application: A Comprehensive Review;Wireless Personal Communications;2024-08

2. Design of a Frequency Selective Surface Backed Wideband Sub-6 GHz Band MIMO Antenna with High Isolation for 5G Applications;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

3. Gain enhancement of antenna using tuned complementary FSS for wireless communication;International Journal of Electronics;2024-05-16

4. Simulation Based Analysis of Microstrip Patch Antenna for N77 Band Using Slot Loading;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

5. Reinforcement Learning-Based Joint Beamwidth and Beam Alignment Interval Optimization in V2I Communications;Sensors;2024-01-27

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