Integrating RIS into HAP Networks for Improved Connectivity

TL;DR

This paper models and analyzes a high-altitude platform network enhanced with reconfigurable intelligent surfaces, demonstrating significant performance improvements through analytical derivations and simulations.

Contribution

It introduces a stochastic geometry-based model for HAP-RIS networks with detailed fading analysis and derives coverage and capacity metrics.

Findings

Significant coverage probability improvements with RIS integration.

Analytical expressions validated by Monte Carlo simulations.

Performance gains depend on system parameters and fading conditions.

Abstract

This paper investigates a high-altitude platform (HAP) network enhanced with reconfigurable intelligent surfaces (RISs). The arbitrary placement of HAPs and RISs is modeled using stochastic geometry, specifically as homogeneous Poisson point processes. The HAP--RIS links are assumed to follow Rician fading, while the RIS--user links experience shadowed-Rician fading. The system's coverage probability and ergodic capacity are derived analytically and validated through Monte Carlo simulations. The results highlight significant performance gains and demonstrate the influence of various system parameters and fading conditions. The proposed system has potential for enhancing connectivity and data offloading in practical scenarios.