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
Zhengguang Gao
Previous Visiting Researcher (Nov 2018~Nov 2019)