Signal Denoising and Detection for Uplink in LoRa Networks Based on Bayesian-Optimized Deep Neural Networks
Author:
Affiliation:
1. CNRS, Centrale Lille, UMR 8520-IEMN, University of Lille, Lille, France
2. IMT Nord Europe, Centre for Digital Systems, Lille, France
Funder
IRCICA USR CNRS 3380
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10008392/09930780.pdf?arnumber=9930780
Reference16 articles.
1. LoRa Signal Synchronization and Detection at Extremely Low Signal-to-Noise Ratios
2. Taking the Human Out of the Loop: A Review of Bayesian Optimization
3. Investigating Theoretical Performance and Demodulation Techniques for LoRa
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