[WP-A] Poster Session 2

[WP-A-9] Network-State-Aware Pointer Network Optimized for Resource Allocation Problems in SDM-EONs

○Sibo Chen¹, Maiko Shigeno¹ (1. University of Tsukuba (Japan))

Keywords:

Artificial intelligence and machine learning for optical network design,control,and management

This research proposed a network-state-aware Pointer Networks optimized via reinforcement learning to solve the RMSSA problem in SDM-EONs. Our method improves solution quality, outperforming traditional heuristics under strict time constraints.