activity
20122026
most citedDeep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes

31 citations · 69 across the 27 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.NI2018

Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions

Dong Liu, Binqiang Chen, Chenyang Yang +1

Caching at the wireless edge is a promising way of boosting spectral efficiency and reducing energy consumption of wireless systems. These improvements are rooted in the fact that…

cs.IT2018

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…

cs.NI2018

Deep Reinforcement Learning for Resource Management in Network Slicing

Rongpeng Li, Zhifeng Zhao, Qi Sun +5

Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices. In order to provide better-perf…

cs.IT2018

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…

cs.IT2018

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…

cs.NI2018

A Learning-based Approach to Joint Content Caching and Recommendation at Base Stations

Dong Liu, Chenyang Yang

Recommendation system is able to shape user demands, which can be used for boosting caching gain. In this paper, we jointly optimize content caching and recommendation at base stat…