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


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.

Optical Fiber Communication Conference (OFC) 2019 (2019), Paper W2A.22
Zhengguang Gao
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.

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