Wu, Co-Authors Win Best Paper
September 13, 2021
BATON ROUGE, LA – LSU Electrical & Computer Engineering Professor Hsiao-Chun Wu’s
paper, “Novel Cooperative Automatic Modulation Classification by Credit-Based Consensus
Fusion,” recently received the Best Paper Award at the IEEE International Symposium
on Broadband Multimedia Systems and Broadcasting.
Wu co-authored the paper with Xiao Yan, associate professor in the School of Aeronautics and Astronautics at the University of Electronic Science and Technology in Chengdu, China; Xiaoxue Rao, master’s student in the School of Aeronautics and Astronautics at the University of Electronic Science and Technology in Chengdu, China; Qian Wang, associate professor in the School of Aeronautics and Astronautics at the University of Electronic Science and Technology in Chengdu, China; and Yiyan Wu, principal research scientist at the Communications Research Centre of Canada in Ottawa, Canada.
In the paper, the authors propose a two-stage cooperative automatic modulation classification (AMC) approach to be deployed by a wireless sensor network consisting of a fusion center. Compared to existing AMC schemes, which can be implemented only on a single-sensing device (receiver), their proposed new cooperative AMC method can increase the overall classification accuracy and greatly mitigate the adverse effect of channel distortion and noise impairment often encountered in the existing single-sensing-device modulation classifiers. Meanwhile, the extra communication overhead required by their new method is limited, and therefore, the incurred communication cost is minimum.
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