A Further Realization of Binary Genetic Algorithm to Design a Dual Frequency Band Rectenna for Energy Harvesting in 5G Networks

A Further Realization of Binary Genetic Algorithm to Design a Dual Frequency Band Rectenna for Energy Harvesting in 5G Networks

Energy-autonomous systems have evolved in response to the quick deployment of 5G networks and growing presence of Internet of Things (IoT) devices.   One reasonable approach is hybrid RF energy collecting using rectenna designs.   Optimizing antenna performance for multi-band operation is a signifi...

Full description

Saved in:
Bibliographic Details
Main Authors: Yahiea Al Naiemy, Aqeel N. Abdulateef, Ahmed Rifaat Hamad, Mohammed Saadi Ismael, Balachandran Ruthramurthy, Taha A. Elwi, Lajos Nagy, Thomas Zwick
Format: Article
Language:English
Published: University of Diyala 2025-06-01
Series:Diyala Journal of Engineering Sciences
Subjects:
BGA
Energy Harvesting
Microstrip Antenna
Rectifier
5G
sub-6GHz
Online Access:https://djes.info/index.php/djes/article/view/1863
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items