TY - GEN
T1 - Microstrip patch antenna design and implementation for 5G/B5G applications
AU - Attar, Hani
AU - Agieb, Ramy Said
AU - Amer, Ayman
AU - Solyman, Ahmed
AU - Aziz, Mahaba Saad
PY - 2023/3/2
Y1 - 2023/3/2
N2 - As demand for video downloads, wearable devices, and the Internet of Things (IoT) skyrockets, the next generation of communication systems will concentrate on attaining fast data transfer speeds and low energy consumption. These gadgets will be used for several applications, such as healthcare, environment monitoring, tourism, smart grid, intelligent traffic management, and agriculture. New applications need a fast transmission rate and bandwidth for data. The antenna is a crucial component inside communication systems that determines its bandwidth, data rate, and capabilities. Therefore, the authors of this work designed and modeled a microstrip patch antenna (MPA) for 5G and Beyond 5G (B5G) applications at 26 GHz frequency using millimeter wave bands. In this proposed design, CST software was used to design and model the antenna.
AB - As demand for video downloads, wearable devices, and the Internet of Things (IoT) skyrockets, the next generation of communication systems will concentrate on attaining fast data transfer speeds and low energy consumption. These gadgets will be used for several applications, such as healthcare, environment monitoring, tourism, smart grid, intelligent traffic management, and agriculture. New applications need a fast transmission rate and bandwidth for data. The antenna is a crucial component inside communication systems that determines its bandwidth, data rate, and capabilities. Therefore, the authors of this work designed and modeled a microstrip patch antenna (MPA) for 5G and Beyond 5G (B5G) applications at 26 GHz frequency using millimeter wave bands. In this proposed design, CST software was used to design and model the antenna.
KW - 5G
KW - B5G
KW - CS software
KW - Microstrip Patch Antenna
KW - millimeter wave bands
U2 - 10.1109/EICEEAI56378.2022.10050499
DO - 10.1109/EICEEAI56378.2022.10050499
M3 - Conference contribution
AN - SCOPUS:85149966630
SN - 9798350332759
T3 - 1st International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2022
BT - 2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2022
Y2 - 6 December 2022 through 8 December 2022
ER -
