activity
20172021
most citedAutomatic Modulation Classification Using Involution Enabled Residual Networks

26 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP202126 cited

Automatic Modulation Classification Using Involution Enabled Residual Networks

Hao Zhang, Lu Yuan, Guangyu Wu +2

Automatic modulation classification (AMC) is of crucial importance for realizing wireless intelligence communications. Many deep learning based models especially convolution neural…

eess.SP20211 cited

Resilient UAV Swarm Communications with Graph Convolutional Neural Network

Zhiyu Mou, Feifei Gao, Jun Liu +1

In this paper, we study the self-healing problem of unmanned aerial vehicle (UAV) swarm network (USNET) that is required to quickly rebuild the communication connectivity under unp…

eess.SP20212 cited

A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks

Hao Zhang, Fuhui Zhou, Qihui Wu +2

Automatic modulation classification enables intelligent communications and it is of crucial importance in today's and future wireless communication networks. Although many automati…

cs.IT2020

Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs

Peihao Dong, Hua Zhang, Qihui Wu +1

In this paper, we investigate the massive MIMO relay system, where the relay station (RS) forwards the signals from multiple remote users to the base station (BS). Large-scale ante…

cs.IT2017

Anti-jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach

Xin Liu, Yuhua Xu, Luliang Jia +2

This letter investigates the problem of anti-jamming communications in dynamic and unknown environment through on-line learning. Different from existing studies which need to know…