Intelligent Computations on Retrieving Optical Target Data Signals from Noises-Accumulated Multi-carriers Transmissions

Jen Fa Huang, Chun Chieh Liu, Hung I. Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Instead of arrayed -waveguide grating (AWG) coder/decoders approach, we aim at intelligent coding computations to mitigate interference noises from noises-accumulated multi-carriers transmissions. Recursive interference cancellation result will be worse off if there is strong noise in the transmission channel. An interference cancellation method based on convolutional neural network (CNN) was proposed to the increased or cancel noise to improve accuracy of retrieving optical target data signals in multiuser systems. In this paper, we focus on the training gathering, and analysis. The training data for CNN model building was discussed with different decision rules. The performance of CNN-based interference cancellation method was defined according to the analysis result of training data collection. The analysis result shows that if we can retrieve the estimation noise which approach the true noise, the better BER will be acquired.

Original languageEnglish
Title of host publicationProceedings of 2019 2nd World Symposium on Communication Engineering, WSCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages98-101
Number of pages4
ISBN (Electronic)9781728153292
DOIs
Publication statusPublished - 2019 Dec
Event2nd World Symposium on Communication Engineering, WSCE 2019 - Nagoya, Japan
Duration: 2019 Dec 202019 Dec 23

Publication series

NameProceedings of 2019 2nd World Symposium on Communication Engineering, WSCE 2019

Conference

Conference2nd World Symposium on Communication Engineering, WSCE 2019
CountryJapan
CityNagoya
Period19-12-2019-12-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

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