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Performance Analysis of a Vertical FSO Link with Energy Harvesting Strategy
Carmen Álvarez-Roa1, María Álvarez-Roa1, Francisco J Martín-Vega1
1University Institute of Telecommunication Research (TELMA), University of Málaga, CEI Andalucía Tech., E-29071 Málaga, Spain.
Sensors (Basel, Switzerland)
|August 12, 2022
Summary
This study explores using unmanned aerial vehicles (UAVs) with free space optical (FSO) communications and energy harvesting for efficient 5G+ networks. The research provides a model to enhance harvested energy in UAV-FSO systems, improving network performance.
Area of Science:
- Wireless Communications
- Optical Communications
- Network Engineering
Background:
- 5G and beyond (5G+) networks require robust and cost-efficient backhaul/fronthaul solutions.
- Unmanned aerial vehicles (UAVs) offer a flexible and deployable network infrastructure.
- Free space optical (FSO) communications provide high-data-rate, interference-free links.
Purpose of the Study:
- To investigate the integration of UAVs, FSO communications, and energy harvesting for 5G+ networks.
- To develop an accurate channel model for UAV-FSO links considering atmospheric effects.
- To derive analytical expressions for optimizing energy harvesting in UAV-FSO systems.
Main Methods:
- A composite channel attenuation model incorporating turbulence, pointing errors, and atmospheric attenuation was developed.
- Analytical closed-form expressions for average harvested energy were derived.
- Simulations were conducted for vertical FSO links using a modified on-off keying (OOK) scheme.
Main Results:
- The proposed model accurately captures the performance degradation in FSO links.
- Derived expressions enable improved energy harvesting efficiency in FSO link design.
- Significant harvested energy values were demonstrated in various real-world scenarios.
Conclusions:
- The UAV-FSO framework with energy harvesting is a viable solution for cost-efficient 5G+ networks.
- The developed analytical expressions are crucial for enhancing energy harvesting efficiency.
- This approach can supplement existing charging infrastructure for UAVs.
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