31 citations · 69 across the 23 of their papers we have counts for
13 papers · 1 filter
Unsupervised Deep Learning for Optimizing Wireless Systems with Instantaneous and Statistic Constraints
Chengjian Sun, Changyang She, Chenyang Yang
Deep neural networks (DNNs) have been introduced for designing wireless policies by approximating the mappings from environmental parameters to solutions of optimization problems.…
Improving Network Availability of Ultra-Reliable and Low-Latency Communications with Multi-Connectivity
Changyang She, Zhengchuan Chen, Chenyang Yang +3
Ultra-reliable and low-latency communications (URLLC) have stringent requirements on quality-of-service and network availability. Due to path loss and shadowing, it is very challen…
Exploiting Residual Resources to Support High Throughput with Resource Allocation
Jia Guo, Chuting Yao, Chenyang Yang +1
Residual radio resources are abundant in wireless networks due to dynamic traffic load, which can be exploited to support high throughput for serving non-real-time (NRT) traffic. I…
When Exploiting Individual User Preference Is Beneficial for Caching at Base Stations
Dong Liu, Chenyang Yang, Victor C. M. Leung
Most of prior works optimize caching policies based on the following assumptions: 1) every user initiates request according to content popularity, 2) all users are with the same ac…
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…
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…