activity
20232026
most citedOptimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Radio-Frequency Inverse Rendering for Wireless Environment Modeling

Fuhai Wang, Zihan Jin, Lehang Wang +4

Neural rendering paradigms have recently emerged as powerful tools for radio frequency (RF). However, by entangling RF sources with scene geometry and material properties, existing…

cs.NI2025

Towards AI-Native RAN: An Operator's Perspective of 6G Day 1 Standardization

Nan Li, Qi Sun, Lehan Wang +6

Artificial Intelligence/Machine Learning (AI/ML) has become the most certain and prominent feature of 6G mobile networks. Unlike 5G, where AI/ML was not natively integrated but rat…

cs.NI2023★ 1 cited

Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update

Jingzhou Sun, Lehan Wang, Zhaojun Nan +3

Intelligent real-time applications, such as video surveillance, demand intensive computation to extract status information from raw sensing data. This poses a substantial challenge…

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…