Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation

Zhouyou Gu,Changyang She,Wibowo Hardjawana,Simon Lumb,David McKechnie,Todd Essery,Branka Vucetic

IEEE Journal on Selected Areas in Communications（2021）

引用 58|浏览58

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摘要

In this paper, we develop a knowledge-assisted deep reinforcement learning (DRL) algorithm to design wireless schedulers in the fifth-generation (5G) cellular networks with time-sensitive traffic. Since the scheduling policy is a deterministic mapping from channel and queue states to scheduling actions, it can be optimized by using deep deterministic policy gradient (DDPG). We show that a straight...

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关键词

5G mobile communication,Wireless communication,Quality of service,Training,Computer architecture,Reinforcement learning,Delays

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