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Chaotic optical communications at 56 Gbit/s over 100-km fiber transmission based on a chaos generation model driven by long short-term memory networks.
- Source :
-
Optics letters [Opt Lett] 2022 May 15; Vol. 47 (10), pp. 2382-2385. - Publication Year :
- 2022
-
Abstract
- Chaotic optical communication technology is considered as an effective secure communication technology, which can protect information from a physical layer and is compatible with the existing optical networks. At present, to realize long-distance chaos synchronization is still a very difficult problem, mainly because well-matched hardware cannot always be guaranteed between the transmitter and receiver. In this Letter, we introduce long short-term memory (LSTM) networks to learn a nonlinear dynamics model of an opto-electronic feedback loop, and then apply the trained deep learning model to generate a chaotic waveform for encryption and decryption at the transmitter and receiver. Furthermore, to improve the security, we establish a deep learning model pool which consists of different gain trained models and different delay trained models, and use a digital signal to drive chaos synchronization between the receiver and transmitter. The proposed scheme is experimentally verified in chaotic-encrypted 56-Gbit/s PAM-4 systems, and a decrypted performance below 7%FEC threshold (BER = 3.8×10 <superscript>-3</superscript> ) can be achieved over a 100-km fiber transmission.
Details
- Language :
- English
- ISSN :
- 1539-4794
- Volume :
- 47
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Optics letters
- Publication Type :
- Academic Journal
- Accession number :
- 35561356
- Full Text :
- https://doi.org/10.1364/OL.456258