8 citations · 8 across the 1 of their papers we have counts for
3 papers
eess.SP2020
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
Zhouyou Gu, Changyang She, Wibowo Hardjawana +4
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-se…
eess.SP2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She, Chengjian Sun, Zhouyou Gu +4
As one of the key communication scenarios in the 5th and also the 6th generation (6G) of mobile communication networks, ultra-reliable and low-latency communications (URLLC) will b…
eess.SP2020★ 8 cited
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
Changyang She, Rui Dong, Zhouyou Gu +6
In the future 6th generation networks, ultra-reliable and low-latency communications (URLLC) will lay the foundation for emerging mission-critical applications that have stringent…