6 citations · 17 across the 10 of their papers we have counts for
5 papers · 1 filter
Mean-Field Approximation based Scheduling for Broadcast Channels with Massive Receivers
Changkun Li, Wei Chen, Khaled B. Letaief
The emerging Industrial Internet of Things (IIoT) is driving an ever increasing demand for providing low latency services to massive devices over wireless channels. As a result, ho…
UAV Aided Over-the-Air Computation
Min Fu, Yong Zhou, Yuanming Shi +2
Over-the-air computation (AirComp) seamlessly integrates communication and computation by exploiting the waveform superposition property of multiple-access channels. Different from…
Over-the-Air Computation via Reconfigurable Intelligent Surface
Wenzhi Fang, Yuning Jiang, Yuanming Shi +3
Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition prope…
Delay Analysis of Wireless Federated Learning Based on Saddle Point Approximation and Large Deviation Theory
Lintao Li, Longwei Yang, Xin Guo +4
Federated learning (FL) is a collaborative machine learning paradigm, which enables deep learning model training over a large volume of decentralized data residing in mobile device…
UAV-Assisted Over-the-Air Computation
Min Fu, Yong Zhou, Yuanming Shi +2
Over-the-air computation (AirComp) provides a promising way to support ultrafast aggregation of distributed data. However, its performance cannot be guaranteed in long-distance tra…