LoRa Signal Demodulation Using Deep Learning, a Time-Domain Approach-Reference-Cited by-同舟云学术

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LoRa Signal Demodulation Using Deep Learning, a Time-Domain Approach

Published:2021-04 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
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Author:

Dakic Kosta,Al Homssi Bassel,Al-Hourani Akram,Lech Margaret

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9448628/9448629/09448711.pdf?arnumber=9448711

Cited by 11 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. Deep Learning-based Successive Interference Cancellation to Improve Uplink in LoRa Networks;2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2024-07-08

2. Spiking-UNet: Spiking Neural Networks for Spectrum Occupancy Monitoring;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. Joint Channel Estimation and Signal Detection for LoRa Systems Using Convolutional Neural Network;IEEE Communications Letters;2024-03

4. Physical Layer Spoof Detection and Authentication for IoT Devices Using Deep Learning Methods;IEEE Transactions on Machine Learning in Communications and Networking;2024

5. A Time-Frequency Geometric Detection Approach for LoRa Chirp Signals;ICC 2023 - IEEE International Conference on Communications;2023-05-28

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