Leveraging Hybrid UAV Relays in Adverse Weather for FSO Link Capacity Maximization

Nafees, Muhammad; Huang, Shenjie; Thompson, John; Safari, Majid

doi:10.1109/wcnc51071.2022.9771966

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…In the majority of the earlier studies, the fog effect of UAVs optical communication is often calculated by the empirical models of fog attenuation. [27][28][29] Nallagonda and Krishnan 28 analyzed the bit error rate (BER) performance of UAVs free-space optical (FSO) links at different visibilities based on Kim's empirical model. Nafees et al 29 investigated the UAVs FSO relay system in foggy weather using Kim's empirical model.…”

Section: Introductionmentioning

confidence: 99%

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Joint channel model for fog and atmospheric turbulence and performance analysis of unmanned aerial vehicles’ free-space optical communication

et al. 2023

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.To study the joint effects of turbulence and fog on free-space optical (FSO) communication, a joint fog-turbulence-pointing error probability model for FSO is derived based on the random fog channel, Malaga turbulence model, and pointing error model. The closed-form expressions for the average signal to noise ratio (SNR), outage probability, average bit error rate (BER), ergodic channel capacity, and moment generating function in FSO communication under intensity modulation/direct detection are derived based on the joint model. Based on the unmanned aerial vehicle (UAV) working scenario, applying these expressions, the performance analysis of the inter-UAVs optical wave communication is implemented under the conditions for different beam widths, turbulence intensity and fog density and the pointing error caused by position, orientation, and jitter deviations. The calculated results are in good agreement with the Monte Carlo simulations. The analytical results for the average BER and outage probability show that the increase in beam width can significantly degrade the BER and outage probability, for the UAVs optical communication link. The analysis for the ergodic channel capacity shows that it increases with the increase of average transmission power; however, it increases slowly with the increase of beam width. And the increase in turbulence intensity, fog density, and drone jitter will degrade the communication performance of the system. Our study lays an important theoretical foundation for the development of FSO communication and UAV communication performance improvement in joint fog and turbulent environment.

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Section: Introductionmentioning

confidence: 99%

“… – 29 Nallagonda and Krishnan 28 analyzed the bit error rate (BER) performance of UAVs free-space optical (FSO) links at different visibilities based on Kim’s empirical model. Nafees et al 29 . investigated the UAVs FSO relay system in foggy weather using Kim’s empirical model.…”

Section: Introductionmentioning

confidence: 99%

Joint channel model for fog and atmospheric turbulence and performance analysis of unmanned aerial vehicles’ free-space optical communication

et al. 2023

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A Review on Deployment of UAV-FSO System for High-Speed Communication

Tumma,

Kappala

2024

IEEE Access

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Revolutionizing Free-Space Optics: A Survey of Enabling Technologies, Challenges, Trends, and Prospects of Beyond 5G Free-Space Optical (FSO) Communication Systems

Alimi,

Monteiro

2024

Sensors

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As the demand for high-speed, low-latency communication continues to grow, free-space optical (FSO) communication has gained prominence as a promising solution for supporting the next generation of wireless networks, especially in the context of the 5G and beyond era. It offers high-speed, low-latency data transmission over long distances without the need for a physical infrastructure. However, the deployment of FSO systems faces significant challenges, such as atmospheric turbulence, weather-induced signal degradation, and alignment issues, all of which can impair performance. This paper offers a comprehensive survey of the enabling technologies, challenges, trends, and future prospects for FSO communication in next-generation networks, while also providing insights into the current mitigation strategies. The survey explores the critical enabling technologies such as adaptive optics, modulation schemes, and error correction codes that are revolutionizing FSO communication and addressing the unique challenges of FSO links. Also, the integration of FSO with radio frequency, millimeter-wave, and Terahertz technologies is explored, emphasizing hybrid solutions that enhance reliability and coverage. Additionally, the paper highlights emerging trends, such as the integration of FSO with artificial intelligence-driven optimization techniques and the growing role of machine learning in enhancing FSO system performance for dynamic environments. By analyzing the current trends and identifying key challenges, this paper emphasizes the prospects of FSO communication in the evolving landscape of 5G and future networks. In this regard, it assesses the potential of FSO to meet the demands for high-speed, low-latency communication and offers insights into its scalability, reliability, and deployment strategies for 5G and beyond. The paper concludes by identifying the open challenges and future research directions critical to realizing the full potential of FSO in next-generation communication systems.

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Leveraging Hybrid UAV Relays in Adverse Weather for FSO Link Capacity Maximization

Cited by 3 publications

References 22 publications

Joint channel model for fog and atmospheric turbulence and performance analysis of unmanned aerial vehicles’ free-space optical communication

Joint channel model for fog and atmospheric turbulence and performance analysis of unmanned aerial vehicles’ free-space optical communication

A Review on Deployment of UAV-FSO System for High-Speed Communication

Revolutionizing Free-Space Optics: A Survey of Enabling Technologies, Challenges, Trends, and Prospects of Beyond 5G Free-Space Optical (FSO) Communication Systems

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