Revisiting Routing Optimization in Cross-Layer Networks with LLM-Assisted Auxiliary Graphs
We investigate routing optimization in cross-layer networks using a large language model (LLM)-assisted auxiliary graph. Numerical results show that it significantly outperforms both heuristic and DRL methods in terms of resource efficiency and latency reduction.
Authors
- Qiaolun Zhang (ORCID: https://orcid.org/0000-0002-7012-950X)
- Jiarui Zhang
- Ruikun Wang (ORCID: https://orcid.org/0000-0002-9139-6439)
- Zheng Zhang
- Xin Wang
- Massimo Tornatore
- Jingjing Wang
- Zhiqun Gu
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Qingdao University of Science and Technology (CN)
- Beijing Information Science & Technology University (CN)
- Politecnico di Milano (IT)
Publication Details
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1109/acp66871.2025.11350587
- Primary Topic
- Software-Defined Networks and 5G
- Type
- article
- Field-Weighted Citation Impact
- 0.00