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

Sep 17, 2020
Zhouyou Gu, Changyang She, Wibowo Hardjawana, Simon Lumb, David McKechnie, Todd Essery, Branka Vucetic

* This paper has been submitted to IEEE JSAC series on "Machine Learning in Communications and Networks" (in the second round of review). The source codes in simulation will be published in GitHub after the final acceptance 

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A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning

Sep 13, 2020
Changyang She, Chengjian Sun, Zhouyou Gu, Yonghui Li, Chenyang Yang, H. Vincent Poor, Branka Vucetic

* This work has been submitted to Proceedings of the IEEE (in the second round of review) 

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Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks

Feb 22, 2020
Changyang She, Rui Dong, Zhouyou Gu, Zhanwei Hou, Yonghui Li, Wibowo Hardjawana, Chenyang Yang, Lingyang Song, Branka Vucetic

* The manuscript contains 4 figures 2 tables. It has been submitted to IEEE Network (in the second round of revision) 

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