Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18008
Title: Comprehensive Performance Analysis of Aerial-Platforms-Enabled Mixed FSO/RF Communication with NOMA Framework
Authors: Sharma, Prashant
Swaminathan, R.
Issue Date: 2025
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Sharma, P., Swaminathan, R., & Elamassie, M. (2025). Comprehensive Performance Analysis of Aerial-Platforms-Enabled Mixed FSO/RF Communication with NOMA Framework. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. https://doi.org/10.1109/PIMRC62392.2025.11275077
Abstract: Free-space optics (FSO) and radio frequency (RF)-based non-orthogonal multiple access (NOMA) are key enablers for 5G and beyond communication. This paper proposes a novel mixed FSO/RF communication system with the NOMA framework leveraging high-altitude platform stations (HAPS) and unmanned aerial vehicles (UAVs) as relays to enhance reliability and spectral efficiency. The proposed system employs decode-and-forward (DF) relaying, with FSO links modeled using a doubly inverted Gamma-Gamma (IGGG) distribution incorporating atmospheric turbulence, pointing errors, and angle-of-arrival (AoA) fluctuations, while RF links follow a Nakagami-m fading model. A relay selection scheme based on channel conditions is implemented to optimize UAV selection. Further, closed-form expressions for outage probability (OP), ergodic capacity (EC), and throughput are derived and validated through Monte-Carlo simulations. Numerical results show that system performance is dominated by the link reliability of FSO communication at shorter user-to-UAV distances and transitions to RF link dominance at longer distances. For the two-user scenario, the analysis reveals that user 1 experiences interference-limited saturation at a high signal-to-noise ratio (SNR), while user 2 achieves linear capacity growth due to successive interference cancellation (SIC). The proposed system model effectively mitigates channel impairments, offering valuable insights for the next-generation wireless networks. © 2025 IEEE.
URI: https://dx.doi.org/10.1109/PIMRC62392.2025.11275077
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/18008
ISBN: 9798350363234
9798350362244
9783800729098
9780780354357
0780378229
0780375890
9781457713484
9781479949120
9781467362351
9781467325691
ISSN: 2166-9570
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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