Performance Analysis of RIS-Aided Hybrid RF-FSO Communications With Index Modulation
This work investigates the performance of a hybrid communication system that integrates free-space optical (FSO) and radio frequency (RF) systems for backhaul networks. In this framework, both the RF and FSO links are enhanced by reconfigurable intelligent surfaces (RISs) and employ index modulation (IM) for link switching. The fading in the RF link is modeled using the Nakagami-m distribution, while the FSO link is affected by attenuation, turbulence, and pointing errors, with turbulence characterized by the Gamma-Gamma distribution. Link switching is performed through index modulation, where the selection of the transmission link conveys information bits. We derive exact closed-form expressions for the probability density function (PDF), cumulative distribution function (CDF), and moment-generating function (MGF) of the signal-to-noise ratio (SNR) for RIS-assisted FSO links. Utilizing these SNR statistics, we compute the outage probability(OP), average bit error rate (ABER), and ergodic capacity(EC) of the proposed hybrid RF/FSO system. In the numerical results, the performance of the proposed hybrid RF/FSO system is compared against other systems, including hybrid systems using index modulation without RISs, RIS-assisted FSO systems, and hybrid systems employing hard switching techniques. Finally, Monte Carlo simulations are carried out to validate the accuracy of the theoretical results.
Authors
- Wenchao Qi (ORCID: https://orcid.org/0000-0003-3465-5278)
- Pengfei Shen (ORCID: https://orcid.org/0000-0003-4405-2032)
- Lu Lu (ORCID: https://orcid.org/0000-0003-2240-9547)
- Yuna He
Institutions
- Chinese Academy of Sciences (CN)
- Technology and Engineering Center for Space Utilization (CN)
Publication Details
- Journal
- IEEE photonics journal
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1109/jphot.2025.3559488
- Citations
- 1
- Primary Topic
- Optical Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73