activity
20172023
most citedBroadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)

38 citations · 67 across the 18 of their papers we have counts for

collaborators

27 papers

cs.IT20222 cited

Wireless Image Transmission with Semantic and Security Awareness

Maojun Zhang, Yang Li, Zezhong Zhang +2

Semantic communication is an increasingly popular framework for wireless image transmission due to its high communication efficiency. With the aid of the joint-source-and-channel (…

cs.IT20222 cited

Pushing AI to Wireless Network Edge: An Overview on Integrated Sensing, Communication, and Computation towards 6G

Guangxu Zhu, Zhonghao Lyu, Xiang Jiao +5

Pushing artificial intelligence (AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelli…

cs.IT2022

Task-Oriented Over-the-Air Computation for Multi-Device Edge AI

Dingzhu Wen, Xiang Jiao, Peixi Liu +3

Departing from the classic paradigm of data-centric designs, the 6G networks for supporting edge AI features task-oriented techniques that focus on effective and efficient executio…

eess.SP20221 cited

Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving

Xinrao Li, Tong Zhang, Shuai Wang +3

Edge intelligence autonomous driving (EIAD) offers computing resources in autonomous vehicles for training deep neural networks. However, wireless channels between the edge server…

cs.IT2022

Over-the-Air Computation with Imperfect Channel State Information

Yilong Chen, Guangxu Zhu, Jie Xu

This paper investigates the effect of imperfect channel state information (CSI) on the over-the-air computation (AirComp) system, in which multiple wireless devices (WDs) send indi…

cs.IT2022

Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design

Xiaoyang Li, Fan Liu, Ziqin Zhou +4

To support the unprecedented growth of the Internet of Things (IoT) applications, tremendous data need to be collected by the IoT devices and delivered to the server for further co…