126 citations · 149 across the 4 of their papers we have counts for
4 papers
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT
Shunpu Tang, Lunyuan Chen, Ke HeJunjuan Xia +2
In this paper, we investigate how to deploy computational intelligence and deep learning (DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can collabora…
Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems
Shunpu Tang, Junjuan Xia, Lisheng Fan +3
Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) system can offer high spectral and energy efficiency, it requires to feedback the downlin…
Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks
Shunpu Tang, Wenqi Zhou, Lunyuan Chen +3
In this paper, we study how to optimize the federated edge learning (FEEL) in UAV-enabled Internet of things (IoT) for B5G/6G networks, from a deep reinforcement learning (DRL) app…
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things
Rui Zhao, Xinjie Wang, Junjuan Xia +1
In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet of things (IoT), where multiple users have some computational tasks assisted by multiple…