International Journal of Scientific Research and Engineering Development

Halo Net proposes a four-layer hybrid communication architecture that integrates a solar-powered High-Altitude Platform Station (HAPS), an autonomous UAV relay swarm, a self-healing terrestrial mesh, and distributed edge-AI inference nodes into a single adaptive network fabric. The design targets two classes of connectivity gap that conventional tower-based cellular infrastructure cannot economically close: rapid restoration of communications after large-scale disasters, and persistent broadband coverage for geographically remote or low-density rural populations. This paper presents the complete system architecture, a star-of-mesh routing topology with redundant aerial links, and an AI-driven adaptive pathscoring algorithm for distributed route selection. To move beyond a purely conceptual description, we develop first-order analytical models for coverage footprint, end-to-end latency, and channel capacity as functions of network scale and relay hop count, and we implement a custom Monte Carlo graph simulation (3,000 trials per data point) to quantify the resilience gained from the proposed redundant-mesh design relative to a non-redundant star topology. Under the simulated model, the redundant-mesh design retains terrestrial-node connectivity to the HAPS backbone substantially better than the non-redundant baseline as random node failure rate increases, particularly beyond a 20% failure rate. We further present a security framework, edge-AI application scenarios, and an economic feasibility analysis that first corrects an inconsistency in the project's original cost figures -- comparing one HAPS against a terrestrial tower count that covers only a tenth of its footprint -- and then shows that, once both sides are priced for the same coverage area, a single HAPS is projected to be roughly 3.6x cheaper over a 10-year horizon than coverage-equivalent terrestrial towers, with a modeled economic breakeven radius of approximately 85 km. All performance figures in this paper are clearly labeled as analytical projections or simulation outputs; no claim is made of physical field-test measurements, and the manuscript explicitly identifies this as a direction for future validation work.

Danish, A Mohammed Rahil, Mohammed Aftab Vali, "Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband" International Journal of Scientific Research and Engineering Development, V9(4): Page(1330-1349) July-August 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.