Switching Millimeter Wave Channels Using Fuzzy Controller System
This paper introduces a novel approach for managing 5G millimeter-wave channel switching, addressing the critical need for high-speed, low-latency communication. While promising significantly higher transmission rates, millimeter-wave frequencies are highly susceptible to environmental conditions such as rain, snow, dust, and sand, leading to signal attenuation and connectivity disruptions. To counter these challenges, we propose a Fuzzy Controller for switching mm-wave channels, which utilizes advanced algorithms to ensure smooth and efficient channel transitions. Our model quantifies the impact of environmental conditions on 5G signal propagation, precisely simulating how rainfall influences signal strength. Unlike devices on the market that typically switch between two frequencies based on signal strength alone, our approach intelligently incorporates environmental data such as visibility and rain intensity to choose optimally from five different frequencies. Through extensive simulations and performance evaluations, we show that our approach ensures reliable connectivity while maintaining high data speeds and minimizing latency. This research sets a foundational platform for future investigations into robust millimeter-wave channel switching mechanisms for 5G networks, enhancing user experience and overall network efficiency.
Authors
- Gurcan Comert (ORCID: https://orcid.org/0000-0002-2373-5013)
- Amirhossein Nazeri (ORCID: https://orcid.org/0000-0002-7396-2572)
- Pierluigi Pisu (ORCID: https://orcid.org/0000-0003-4266-1336)
- Chin‐Tser Huang (ORCID: https://orcid.org/0000-0003-3983-972X)
- Esmail Abuhdima (ORCID: https://orcid.org/0000-0003-1121-6467)
- Jian Liu (ORCID: https://orcid.org/0000-0001-7484-401X)
- Abdulmajid Mrebit (ORCID: https://orcid.org/0000-0002-1696-976X)
- Naomi Rolle
- Jason Laing
- Nabeyou Tedessa
Institutions
- University of South Carolina (US)
- Benedict College (US)
- Ecpi University (US)
- North Carolina Agricultural and Technical State University (US)
- Clemson University (US)
Publication Details
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1109/rfid-ta64374.2024.10965171
- Citations
- 2
- Primary Topic
- Microwave Engineering and Waveguides
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Science Foundation