Abstract
The integration of non-terrestrial networks (NTNs), which include high altitude platform (HAP) stations and intelligent reflecting surfaces (IRS) into communication infrastructures has become a crucial area of research to address the increasing requirements for connectivity and performance in the post-5G era. This paper presents a comprehensive performance study of a new NTN architecture, which enables communication from the optical ground station (OGS) to end users through the utilization of HAP and terrestrial IRS nodes. In this configuration, the HAP acts as an amplify-and-forward (AF) relay terminal between the free-space optical (FSO) link and the RF links. Specifically, the RF links are modeled using the Shadowed Rician and the generalized Nakagami-m models, where the FSO link is characterized by the Gamma-Gamma distribution with generalized pointing errors. The FSO system operates under either intensity modulation with direct detection or heterodyne detection. Using the mixture Gamma model, we approximate the non-centered chi-square distribution that describes the total fading of the RF link, and we assess the performance of the end-to-end system by analyzing the ergodic capacity, the average bit-error rate (BER), and the outage probability, calculated using the bivariate Fox-H function. We also provide simple asymptotic expressions for the average BER and the outage probability at high signal-to-noise ratio (SNR). Finally, the proposed analysis is validated with numerical and Monte-Carlo simulation results, showing an exact match.
Original language | English (US) |
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Pages (from-to) | 1046-1059 |
Number of pages | 14 |
Journal | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS |
Volume | 24 |
Issue number | 2 |
DOIs | |
State | Published - 2025 |
Bibliographical note
Publisher Copyright:© 2002-2012 IEEE.
Keywords
- free-space optical (FSO) links
- Gamma-Gamma
- generalized pointing error
- high altitude platform (HAP)
- intelligent reflecting surfaces (IRS)
- mixture Gamma distribution
- Non-terrestrial networks (NTNs)
- Shadowed Rician
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics