Network-State-Aware Pointer Network Optimized for Resource Allocation Problems in SDM-EONs
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.
Authors
- Maiko Shigeno (ORCID: https://orcid.org/0000-0002-3671-9434)
- Sibo Chen (ORCID: https://orcid.org/0000-0002-0740-2083)
Institutions
- University of Tsukuba (JP)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109743
- Primary Topic
- Advanced Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00