Recovery-Limiting Signal-Conditioned Action Decoding for Emergency Wireless Access–Backhaul Capacity Allocation
Post-disaster emergency wireless access–backhaul recovery requires limited capacity to be allocated across affected regions under nonnegativity and fixed-total-capacity constraints. We propose Recovery-Limiting Signal-Conditioned Action Decoding (RLS-CAD). Critical-region access outage, backhaul shortfall, traffic backlog, and end-to-end recovery deficit form regional score bases, while a 15-dimensional policy controls signal fusion, score correction, and finite-support simplex projection. Experiments use five training seeds and 100 shared test scenarios and retain both training and scenario variability. RLS-CAD outperforms Graph-PPO and both information-matched controls on FinalCap, CTI, and TaskUtility. The evaluation concerns normalized planning-level simulation; physical-layer scheduling is outside its scope.
Authors
- Minglei Han (ORCID: https://orcid.org/0000-0002-7671-163X)
- Hongbin Ma (ORCID: https://orcid.org/0000-0002-5734-3157)
- Youzhi Zhang (ORCID: https://orcid.org/0000-0002-2984-734X)
- Jingxiang Ma
- Ying Jin (ORCID: https://orcid.org/0009-0008-7146-5362)
Institutions
- Beijing Institute of Technology (CN)
- Chinese Academy of Sciences (CN)
- Chinese University of Hong Kong, Shenzhen (CN)
- Zhuhai Institute of Advanced Technology (CN)
Publication Details
- Journal
- Sensors
- Published
- 2026-08-21
- DOI
- https://doi.org/10.3390/s26165317
- Primary Topic
- Software-Defined Networks and 5G
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China