Deep Reinforcement Learning for BBU Placement and Routing in C-RAN

Abstract

The paper proposes a deep reinforcement learning (DRL) based policy for BBU placement and routing in C-RAN. The simulation results show DRL-based policy reaches the near-optimal performance with a significantly reduced computing time.

Publication
Optical Fiber Communication Conference (OFC) 2019 (2019), Paper W2A.22
Dr Zhengguang Gao
Dr Zhengguang Gao
Previous Visiting Researcher (Nov 2018~Nov 2019)
Shuangyi Yan
Shuangyi Yan
Senior Lecturer in High Performance Networking & Optical Network

My research focuses on AI-driven automatic dynamic optical networks with flexible network functions and fast network reconfigurations.

comments powered by Disqus

Related