activity
20132024
most citedBase Station Sleeping and Resource Allocation in Renewable Energy Powered Cellular Networks

172 citations · 1.4k across the 92 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.NI2020★ 1 cited

Edge Learning with Timeliness Constraints: Challenges and Solutions

Yuxuan Sun, Wenqi Shi, Xiufeng Huang +2

Future machine learning (ML) powered applications, such as autonomous driving and augmented reality, involve training and inference tasks with timeliness requirements and are commu…

cs.IT2020

Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning

Ruichen Jiang, Sheng Zhou

In this paper, we study a federated learning system at the wireless edge that uses over-the-air computation (AirComp). In such a system, users transmit their messages over a multi-…

cs.IT2020★ 13 cited

Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

Wenqi Shi, Sheng Zhou, Zhisheng Niu +2

In federated learning (FL), devices contribute to the global training by uploading their local model updates via wireless channels. Due to limited computation and communication res…

cs.IT2020★ 3 cited

Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines

Xiufeng Huang, Sheng Zhou

Implementing machine learning algorithms on Internet of things (IoT) devices has become essential for emerging applications, such as autonomous driving, environment monitoring. But…

cs.NI2020★ 3 cited

Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm

Yuxuan Sun, Sheng Zhou, Zhisheng Niu

In a vehicular edge computing (VEC) system, vehicles can share their surplus computation resources to provide cloud computing services. The highly dynamic environment of the vehicu…

cs.IT2020★ 3 cited

Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems

Xi Zheng, Sheng Zhou, Zhisheng Niu

As 5G and Internet-of-Things (IoT) are deeply integrated into vertical industries such as autonomous driving and industrial robotics, timely status update is crucial for remote mon…

cs.NI2020★ 5 cited

AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing

Shan Zhang, Liudi Wang, Hongbin Luo +2

Mobile edge caching can effectively reduce service delay but may introduce information staleness, calling for timely content refreshing. However, content refreshing consumes additi…

cs.IT2020★ 2 cited

Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems

Xi Zheng, Sheng Zhou, Zhisheng Niu

Timely status updating is crucial for future applications that involve remote monitoring and control, such as autonomous driving and Industrial Internet of Things (IIoT). Age of In…