MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202647114217 A) filed by Ciena Corporation on September 24, 2026, for Generalized Training Framework For Resource Allocation In A Network Via Reinforcement Learning.
Inventors include Janulewicz, Emil; Boudreau, Charles; and Jaumard, Brigitte.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: A generalized training framework for resource allocation in a network including: receiving at an agent a network service request for a network service on the network, the network service request including a service function chain (SFC) representing an ordered set of virtualized/containerized network functions (VNFs/CNFs); and embedding by the agent each of the VNFs/CNFs on a determined node along a determined path of the network in accordance with a reinforcement learning (RL) algorithm executed by the agent and utilizing a generalized graph neural network (GNN) value function, where the generalized GNN value function utilizes a normalized reward function that includes discretized rewards/penalties for multiple steps along the determined path.
Disclaimer: Curated by HT Syndication.
