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Recovery-Limiting Signal-Conditioned Action Decoding for Emergency Wireless Access-Backhaul Capacity Allocation
Jingxiang Ma1, Minglei Han1, Hongbin Ma1,2
1School of Automation, Beijing Institute of Technology, Beijing 100081, China.
Abstract:
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.
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