Performance analysis of RIS-assisted dual-hop mixed FSO-RF UAV communication systems

Donghyun Kim , Hwi Sung Park , Bang Chul Jung

›› 2025, Vol. 11 ›› Issue (4) : 1271 -1279.

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›› 2025, Vol. 11 ›› Issue (4) :1271 -1279. DOI: 10.1016/j.dcan.2025.02.001
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Performance analysis of RIS-assisted dual-hop mixed FSO-RF UAV communication systems
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Abstract

In this paper, we investigate a Reconfigurable Intelligent Surface (RIS)-assisted Free-Space Optics-Radio Frequency (FSO-RF) mixed dual-hop communication system for Unmanned Aerial Vehicles (UAVs). In the first hop, a source UAV transmits data to a relay UAV using the FSO technique. In the second hop, the relay UAV forwards data to a destination Mobile Station (MS) via an RF channel, with the RIS enhancing coverage and performance. The relay UAV operates in a Decode-and-Forward (DF) mode. As the main contribution, we provide a mathematical performance analysis of the RIS-assisted FSO-RF mixed dual-hop UAV system, evaluating outage probability, Bit-Error Rate (BER), and average capacity. The analysis accounts for factors such as atmospheric attenuation, turbulence, geometric losses, and link interruptions caused by UAV hovering behaviors. To the best of our knowledge, this is the first theoretical investigation of RIS-assisted FSO-RF mixed dual-hop UAV communication systems. Our analytical results show strong agreement with Monte Carlo simulation outcomes. Furthermore, simulation results demonstrate that RIS significantly enhances the performance of UAV-aided mixed RF/FSO systems, although performance saturation is observed due to uncertainties stemming from UAV hovering behavior.

Keywords

Unmanned aerial vehicle / Free-space optics / Reconfigurable intelligent surface / Mixed RF/FSO channel / Outage probability / Bit-error rate

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Donghyun Kim, Hwi Sung Park, Bang Chul Jung. Performance analysis of RIS-assisted dual-hop mixed FSO-RF UAV communication systems. , 2025, 11(4): 1271-1279 DOI:10.1016/j.dcan.2025.02.001

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References

[1]

E. Basar, M. Di Renzo, J. De Rosny, M. Debbah, M.-S. Alouini, R. Zhang, Wireless communications through reconfigurable intelligent surfaces, IEEE Access 7 (2019) 116753-116773.

[2]

Q. Wu, R. Zhang, Towards smart and reconfigurable environment: intelligent reflect-ing surface aided wireless network, IEEE Commun. Mag. 58 (1) (2020) 106-112.

[3]

L. Yang, W. Guo, I.S. Ansari, Mixed dual-hop FSO-RF communication systems through reconfigurable intelligent surface, IEEE Commun. Lett. 24 (7) (2020) 1558-1562.

[4]

L. Yang, F. Meng, J. Zhang, M.O. Hasna, M.D. Renzo, On the performance of RIS-assisted dual-hop UAV communication systems, IEEE Trans. Veh. Technol. 69 (9) (2020) 10385-10390.

[5]

X. Liu, J. Zou, W. Xie, X. Peng, C. Li, Performance analysis of RIS-assisted mixed dual-hop FSO-RF communication systems over exponentiated Weibull channels, Secur.commun. Netw. (2021) 1-7.

[6]

Z. Zhu, Z. Li, Z. Chu, Y. Guan, Q. Wu, P. Xiao, M.D. Renzo, I. Lee, Intelligent reflect-ing surface assisted mmwave integrated sensing and communication systems, IEEE Internet Things J. 11 (18) (2024) 29427-29437.

[7]

R. Liu, K. Guo, X. Li, K. Dev, S.A. Khowaja, T.A. Tsiftsis, H. Song, RIS-empowered satellite-aerial-terrestrial networks with PD-NOMA, IEEE Commun. Surv. Tutor. 26 (4) (2024) 2258-2289.

[8]

M. Alzenad, M.Z. Shakir, H. Yanikomeroglu, M.-S. Alouini, FSO-based vertical back-haul/fronthaul framework for 5G+ wireless networks, IEEE Commun. Mag. 56 (1) (2018) 218-224.

[9]

E. Lee, J. Park, D. Han, G. Yoon, Performance analysis of the asymmetric dual-hop relay transmission with mixed RF/FSO links, IEEE Photonics Technol. Lett. 23 (21) (2011) 1642-1644.

[10]

G. Xu, S. Lu, L. Qu, Q. Zhang, Z. Song, B. Ai, Outage probability and average BER of UAV-assisted RF/FSO system for space-air-ground integrated networks under angle-of-arrival fluctuations, IEEE Internet Things J. 11 (20) (2024) 34009-34023.

[11]

M.T. Dabiri, S.M.S. Sadough, I.S. Ansari, Tractable optical channel modeling between UAVs, IEEE Trans. Veh. Technol. 68 (12) (2019) 11543-11550.

[12]

L. Yang, F. Meng, Q. Wu, D.B. da Costa, M.-S. Alouini, Accurate closed-form approxi-mations to channel distributions of RIS-aided wireless systems, IEEE Wirel. Commun. Lett. 9 (11) (2020) 1985-1989.

[13]

X. Huang, J.A. Zhang, R.P. Liu, Y.J. Guo, L. Hanzo, Airplane-aided integrated net-working for 6G wireless: will it work?, IEEE Veh. Technol. Mag. 14 (3) (2019) 84-91.

[14]

M.T. Dabiri, S.M.S. Sadough, M.A. Khalighi, Channel modeling and parameter op-timization for hovering UAV-based free-space optical links, IEEE J. Sel. Areas Com-mun. 36 (9) (2018) 2104-2113.

[15]

V.R. Nallagonda, P. Krishnan, Performance analysis of FSO based inter-UAV com-munication systems, Opt. Quantum Electron. 53 (4) (2021).

[16]

M. Di Renzo, K. Ntontin, J. Song, F.H. Danufane, X. Qian, F. Lazarakis, J. De Rosny, D.-T. Phan-Huy, O. Simeone, R. Zhang, M. Debbah, G. Lerosey, M. Fink, S. Tretyakov, S. Shamai, Reconfigurable intelligent surfaces vs. relaying: differences, similarities, and performance comparison, IEEE Open J. Commun. Soc. 1 (2020) 798-807.

[17]

X. Pang, M. Sheng, N. Zhao, J. Tang, D. Niyato, K.-K. Wong, When UAV meets IRS: expanding air-ground networks via passive reflection, IEEE Wirel. Commun. 28 (5) (2021) 164-170.

[18]

M. Hua, L. Yang, Q. Wu, C. Pan, C. Li, A.L. Swindlehurst, UAV-assisted intelligent reflecting surface symbiotic radio system, IEEE Trans. Wirel.commun. 20 (9) (2021) 5769-5785.

[19]

D. Singh, S. R, Comprehensive performance analysis of hovering UAV-based FSO communication system, IEEE Photonics J. 14 (5) (2022) 1-13.

[20]

O.S. Badarneh, M.K. Awad, S. Muhaidat, F.S. Almehmadi, Performance analysis of in-telligent reflecting surface-aided decode-and-forward UAV communication systems, IEEE Syst. J. 17 (1) (2023) 246-257.

[21]

G. Xu, Z. Song, Performance analysis of a UAV-assisted RF/FSO relaying systems for internet of vehicles, IEEE Internet Things J. 9 (8) (2022) 5730-5741.

[22]

A.M. Hunter, J.G. Andrews, S. Weber, Transmission capacity of ad hoc networks with spatial diversity, IEEE Trans. Wirel.commun. 7 (12) (2008) 5058-5071.

[23]

K.P. Peppas, Accurate closed-form approximations to generalised-K sum distribu-tions and applications in the performance analysis of equal-gain combining receivers, IET Commun. 5 (7) (2011) 982-989.

[24]

G.N. Kamga, M. Xia, S. Aïssa, A unified performance evaluation of integrated mobile satellite systems with ancillary terrestrial component, in: Proceedings of the 2015 IEEE International Conference on Communications, IEEE, 2015, pp. 934-938.

[25]

Wolfram,The wolfram functions site [online], http://functions.wolfram.com.

[26]

O.M.S. Al-Ebraheemy, A.M. Salhab, A. Chaaban, S.A. Zummo, M.-S. Alouini, Precise performance analysis of dual-hop mixed RF/unified-FSO DF relaying with hetero-dyne detection and two IM-DD channel models, IEEE Photonics J. 11 (1) (2019) 1-22.

[27]

S. Anees, M.R. Bhatnagar, Performance of an amplify-and-forward dual-hop asym-metric RF-FSO communication system, J. Opt.commun. Netw. 7 (2) (2015) 124-135.

[28]

J.G. Proakis, Digital Communications, McGraw Hill, New York, 2007.

[29]

I.S. Gradshteyn, I.M. Ryzhik, Table of Integrals, Series, and Products, vol. 7, Aca-demic, 2007.

[30]

P. Demir, G. Yılmaz, Investigation of the atmospheric attenuation factors in FSO communication systems using the Taguchi method, Int. J. Opt. (2020).

[31]

E. Bjornson, O. Ozdogan, E.G. Larsson, Intelligent reflecting surface versus decode-and-forward: how large surfaces are needed to beat relaying?, IEEE Wirel. Commun. Lett. 9 (2) (2020) 244-248.

[32]

V.-D. Phan, B.C. Nguyen, T.M. Hoang, T.N. Nguyen, P.T. Tran, B.V. Minh, M. Voz-nak, Performance of cooperative communication system with multiple reconfig-urable intelligent surfaces over Nakagami-𝑚 fading channels, IEEE Access 10 (2022) 9806-9816.

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