Neural Network Wiretap Code Design for Multi-Mode Fiber Optical Channels
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The design of reliable and secure codes with finite block length is an important requirement for industrial machine type communications. In this work, we develop an autoencoder for the multi-mode fiber wiretap channel taking into account the error performance at the legitimate receiver and the information leakage at potential eavesdroppers. The estimate of the mutual information leakage includes AWGN and fading channels. The code design is tailored to the specific channel setup where the eavesdropper experiences a mode dependent loss. Numerical simulations illustrate the performance and show a Pareto improvement of the proposed scheme compared to the state-of-the-art polar wiretap codes.
Details
Original language | English |
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Title of host publication | ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Publisher | IEEE |
Pages | 8738-8742 |
Number of pages | 5 |
ISBN (print) | 978-1-5090-6632-2 |
Publication status | Published - 8 May 2020 |
Peer-reviewed | Yes |
Conference
Title | ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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Duration | 4 - 8 May 2020 |
Location | Barcelona, Spain |
External IDs
Scopus | 85089224631 |
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Keywords
Keywords
- Optical fibers, Optical design, Optical computing, Optical fiber networks, Numerical simulation, Optical receivers, Optical signal processing