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20132024
most citedTimely Status Update in Massive IoT Systems: Decentralized Scheduling for Wireless Uplinks

47 citations · 174 across the 46 of their papers we have counts for

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40 papers · 1 filter

cs.IT2023

A Grouping-based Scheduler for Efficient Channel Utilization under Age of Information Constraints

Lehan Wang, Jingzhou Sun, Yuxuan Sun +2

We consider a status information updating system where a fusion center collects the status information from a large number of sources and each of them has its own age of informatio…

cs.IT2023

Age of Information Guaranteed Scheduling for Asynchronous Status Updates in Collaborative Perception

Lehan Wang, Jingzhou Sun, Yuxuan Sun +2

We consider collaborative perception (CP) systems where a fusion center monitors various regions by multiple sources. The center has different age of information (AoI) constraints…

cs.IT2023

Enhanced Sliding Window Superposition Coding for Industrial Automation

Bohang Zhang, Zhaoujun Nan, Sheng Zhou +1

The introduction of 5G has changed the wireless communication industry. Whereas previous generations of cellular technology are mainly based on communication for people, the wirele…

cs.IT2022

Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning

Yuxuan Sun, Sheng Zhou, Zhisheng Niu +1

Federated edge learning (FEEL) is a promising distributed machine learning (ML) framework to drive edge intelligence applications. However, due to the dynamic wireless environments…

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.IT202013 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…