P. Lohan

HALO: Hierarchical Auction-assisted Learning for Offloading in SAGIN

HALO, a hierarchical auction-assisted learning framework that combines auction-based task association with hierarchical Proximal Policy Optimization for resource allocation, is proposed, highlighting HALO's ability to maintain stable and efficient performance under varying traffic conditions, making it well-suited for delay-sensitive SAGIN environments.