activity
20122023
most citedThroughput-Optimal Scheduling Design with Regular Service Guarantees in Wireless Networks

33 citations · 76 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IT2023

A Worst-Case Approximate Analysis of Peak Age-of-Information Via Robust Queueing Approach

Zhongdong Liu, Yu Sang, Bin Li +1

A new timeliness metric, called Age-of-Information (AoI), has recently attracted a lot of research interests for real-time applications with information updates. It has been extens…

cs.IT2022★ 7 cited

Towards Optimal Tradeoff Between Data Freshness and Update Cost in Information-update Systems

Zhongdong Liu, Bin Li, Zizhan Zheng +2

In this paper, we consider a discrete-time information-update system, where a service provider can proactively retrieve information from the information source to update its data a…

cs.PF2021★ 2 cited

Efficient Learning-based Scheduling for Information Freshness in Wireless Networks

Bin Li

Motivated by the recent trend of integrating artificial intelligence into the Internet-of-Things (IoT), we consider the problem of scheduling packets from multiple sensing sources…

cs.IT2020★ 3 cited

Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study

Zhongdong Liu, Liang Huang, Bin Li +1

The Age-of-Information (AoI) is a new performance metric recently proposed for measuring the freshness of information in information-update systems. In this work, we conduct a syst…

cs.NI2019★ 3 cited

Waiting but not Aging: Optimizing Information Freshness Under the Pull Model

Fengjiao Li, Yu Sang, Zhongdong Liu +3

The Age-of-Information is an important metric for investigating the timeliness performance in information-update systems. In this paper, we study the AoI minimization problem under…

cs.SI2019★ 1 cited

Can We Achieve Fresh Information with Selfish Users in Mobile Crowd-Learning?

Bin Li, Jia Liu

The proliferation of smart mobile devices has spurred an explosive growth of mobile crowd-learning services, where service providers rely on the user community to voluntarily colle…