15 citations · 51 across the 10 of their papers we have counts for
10 papers
Sleep, Sense or Transmit: Energy-Age Tradeoff for Status Update with Two-Thresholds Optimal Policy
Jie Gong, Jianhang Zhu, Xiang Chen +1
Age-of-Information (AoI), or simply age, which measures the data freshness, is essential for real-time Internet-of-Things (IoT) applications. On the other hand, energy saving is ur…
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges
Cong Shen, Jie Xu, Sihui Zheng +1
We advocate a new resource allocation framework, which we term resource rationing, for wireless federated learning (FL). Unlike existing resource allocation methods for FL, resourc…
Joint Transmission and Computing Scheduling for Status Update with Mobile Edge Computing
Jie Gong, Qiaobin Kuang, Xiang Chen
Age of Information (AoI), defined as the time elapsed since the generation of the latest received update, is a promising performance metric to measure data freshness for real-time…
Analysis on Computation-Intensive Status Update in Mobile Edge Computing
Qiaobin Kuang, Jie Gong, Xiang Chen +1
In status update scenarios, the freshness of information is measured in terms of age-of-information (AoI), which essentially reflects the timeliness for real-time applications to t…
Reducing Age-of-Information for Computation-Intensive Messages via Packet Replacement
Jie Gong, Qiaobin Kuang, Xiang Chen +1
Freshness of data is an important performance metric for real-time applications, which can be measured by age-of-information. For computation-intensive messages, the embedded infor…
Age-of-Information for Computation-Intensive Messages in Mobile Edge Computing
Qiaobin Kuang, Jie Gong, Xiang Chen +1
Age-of-information (AoI) is a novel metric that measures the freshness of information in status update scenarios. It is essential for real-time applications to transmit status upda…