DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning-Reference-Cited by-同舟云学术

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DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning

Published:2021-05-10 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
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Author:

Uvaydov Daniel,D'Oro Salvatore,Restuccia Francesco,Melodia Tommaso

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9488422/9488423/09488764.pdf?arnumber=9488764

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spectrum Transformer: An Attention-Based Wideband Spectrum Detector;IEEE Transactions on Wireless Communications;2024-09

2. Compressed Spectrum Sensing of Sparse Wideband Signals Based on Deep Learning;IEEE Transactions on Vehicular Technology;2024-06

3. Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

4. Effi-Ace: Efficient and Accurate Prediction for High-Resolution Spectrum Tenancy;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

5. DeepSweep: Parallel and Scalable Spectrum Sensing via Convolutional Neural Networks;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

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