6 citations · 6 across the 3 of their papers we have counts for
3 papers
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…
cs.IT2018
Joint Uplink and Downlink Resource Configuration for Ultra-reliable and Low-latency Communications
Changyang She, Chenyang Yang, Tony Q. S. Quek
Supporting ultra-reliable and low-latency communications (URLLC) is one of the major goals for the fifth-generation cellular networks. Since spectrum usage efficiency is always a c…
cs.IT2017
Energy-Efficient Resource Allocation for Ultra-reliable and Low-latency Communications
Chengjian Sun, Changyang She, Chenyang Yang
Ultra-reliable and low-latency communications (URLLC) is expected to be supported without compromising the resource usage efficiency. In this paper, we study how to maximize energy…