Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband

Danish, A Mohammed Rahil, Mohammed Aftab Vali · 2026 · Zenodo (CERN European Organization for Nuclear Research)

Summary. Halo Net proposes a hybrid four-layer communication system combining solar-powered high-altitude platforms, autonomous UAV relays, self-healing terrestrial mesh networks, and edge-AI nodes to close connectivity gaps in disaster recovery and rural broadband. Simulations show the redundant-mesh design maintains connectivity better than non-redundant alternatives under node failures. Economic analysis indicates a single high-altitude platform costs roughly 3.6 times less than equivalent terrestrial tower coverage over ten years, with breakeven at approximately 85 km radius.

Read the original

@article{vali-2026-halo-net-ai-driven-autonomous,
  title   = {Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband},
  author  = {Danish, A Mohammed Rahil, Mohammed Aftab Vali},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year    = {2026},
  doi     = {10.5281/zenodo.22124296},
  url     = {https://doi.org/10.5281/zenodo.22124296}
}

TY  - JOUR
TI  - Halo Net: An AI-Driven Autonomous Hybrid Aerial Communication Network for 6G Disaster Resilience and Rural Broadband
AU  - Danish, A Mohammed Rahil, Mohammed Aftab Vali
JO  - Zenodo (CERN European Organization for Nuclear Research)
PY  - 2026
DO  - 10.5281/zenodo.22124296
UR  - https://doi.org/10.5281/zenodo.22124296
ER  - 

Details

DOI

10.5281/zenodo.22124296

Categories

broadband-and-digital, regional-innovation-systems, general-innovation

Added

2026-09-01