Machine Learning-Optimized Compact Frequency Reconfigurable Antenna With RSSI Enhancement for Long-Range Applications

Machine Learning-Optimized Compact Frequency Reconfigurable Antenna With RSSI Enhancement for Long-Range Applications

This study presents an innovative and compact monopole antenna with dual-band frequency reconfigurability for LoRa applications. It operates within the 915 MHz and 868 MHz frequencies, aligning with the designated bands for use in America, Asia and Europe. No existing compact reconfigurable antenna...

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Bibliographic Details
Main Authors: Muhammad S. Yahya, Socheatra Soeung, Sharul Kamal Abdul Rahim, Umar Musa, Saeed S. Ba Hashwan, Md. Ashraful Haque
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Dual-band
LoRa
PIN-diode
reconfigurable
RSSI
Online Access:https://ieeexplore.ieee.org/document/10401914/

Internet

https://ieeexplore.ieee.org/document/10401914/

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