8 citations · 14 across the 2 of their papers we have counts for
3 papers
eess.SP2020
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G
Rui Dong, Changyang She, Wibowo Hardjawana +2
To accommodate diverse Quality-of-Service (QoS) requirements in the 5th generation cellular networks, base stations need real-time optimization of radio resources in time-varying n…
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…
eess.SP2019★ 6 cited
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin
Rui Dong, Changyang She, Wibowo Hardjawana +2
In this work, we consider a mobile edge computing system with both ultra-reliable and low-latency communications services and delay tolerant services. We aim to minimize the normal…