Optimization of HAPS-UAV Network Performance: A Novel Stochastic Geometry model

The integration of High-Altitude Platform Stations (HAPS) and Unmanned Aerial Vehicles (UAVs) introduces a novel paradigm in next-generation wireless communication systems. This research proposes a multi-tiered aerial network architecture, leveraging the quasi-stationary characteristics of HAPS in the stratosphere and the mobility of UAVs in lower altitudes, to optimize communication performance. The primary objective is to enhance coverage, capacity, and reliability across diverse operational scenarios, including urban landscapes, remote areas, and emergency zones. A comprehensive analysis of the coexistence and synergy between HAPS and UAVs is conducted, focusing on key performance metrics such as path loss, latency, signal interference, and link stability. By modeling the quasi-static altitude of HAPS and the dynamic, motion-dependent behaviour of UAVs, this study provides a robust framework for the efficient coordination of aerial platforms. The proposed architecture offers scalable solutions for future wireless networks, addressing critical challenges in global connectivity and network resilience.