About this document
Routing Optimization in Optical Networks by guptarpg.1784 is a document available to read on EtoBox.
This paper presents an ensemble and message-passing neural-network-based Deep Q-Network (EMDQN) method for optimizing routing in Software-Defined Optical Transport Networks (SD-OTNs). The proposed method enhances the generalization capabilities of deep reinforcement learning agents by effectively capturing network spatial features and improving sample utilization, leading to better throughput and link utilization. Experimental results demonstrate that EMDQN outperforms traditional routing optimization metho
- Author
- guptarpg.1784
- Language
- EN