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Paper Abstract and Keywords
Presentation 2026-03-17 10:20
BCAM-Net for Robust IoT Spectrum Sensing under Generalized Gaussian Noise
Yuzhou Han, Zhuoran Li, Ahmad Gendia, Osamu Muta (Kyushu Univ.), Teruji Ide (NIT, Kagoshima College) CAS2025-89 CS2025-82
Abstract (in Japanese) (See Japanese page) 
(in English) Spectrum sensing is essential for cognitive radio dynamic spectrum access (DSA) and for mitigating spectrum scarcity in IoT networks. In practice, robust sensing is challenged by low SNR and non-Gaussian impulsive noise, which can distort observations differently across feature modalities and make multimodal fusion unreliable. To address this issue, noise is modeled using the generalized Gaussian distribution (GGD), and BCAM-Net (bidirectional cross-attention multimodal network) is proposed. BCAM-Net adopts two parallel branches: a time-frequency branch that extracts representations using the continuous wavelet transform (CWT) and a temporal branch that learns long-range dependencies from raw received signals. A bidirectional cross-attention module aligns and calibrates features between the two branches to obtain a fused representation that is robust under complex noise. Simulation results under GGD noise show that BCAM-Net improves detection performance in the low-SNR regime and outperforms several representative baselines. It achieves a 90.20% detection probability exceeding CNN-Transformer, WT-ResNet, TFCFN, and CNN by 5.75%, 6.98%, 33.30%, and 21.10%, respectively. These results suggest that BCAM-Net is effective for spectrum sensing under low-SNR impulsive-noise conditions.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Spectrum Sensing / IoT / Deep Learning / Bidirectional Cross-Attention / Multimodal Fusion / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 415, CS2025-82, pp. 18-23, March 2026.
Paper # CS2025-82 
Date of Issue 2026-03-10 (CAS, CS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CAS2025-89 CS2025-82

Conference Information
Committee CAS CS  
Conference Date 2026-03-17 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. 
Paper Information
Registration To CS 
Conference Code 2026-03-CAS-CS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) BCAM-Net for Robust IoT Spectrum Sensing under Generalized Gaussian Noise 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Spectrum Sensing  
Keyword(3) IoT  
Keyword(4) Deep Learning  
Keyword(5) Bidirectional Cross-Attention  
Keyword(6) Multimodal Fusion  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuzhou Han  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Zhuoran Li  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Ahmad Gendia  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Osamu Muta  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Teruji Ide  
5th Author's Affiliation National Institute of Technology, Kagoshima College (NIT, Kagoshima College)
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Speaker Author-1 
Date Time 2026-03-17 10:20:00 
Presentation Time 20 minutes 
Registration for CS 
Paper # CAS2025-89, CS2025-82 
Volume (vol) vol.125 
Number (no) no.414(CAS), no.415(CS) 
Page pp.18-23 
#Pages 6 
Date of Issue 2026-03-10 (CAS, CS) 

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