This includes Python implementation of O-OFDMNet, a deep learning-based optical OFDM system, which uses neural networks for signal processing in the time-domain. Here, only AWGN channel is considered, while the codes for frequency-selective channels as well as channel coding will be updated shortly.

Details can be found in the paper of O-OFDMNet:

[1] T. V. Luong, X. Zhang, L. Xiang, T. M. Hoang, C. Xu, P. Petropoulos, and L. Hanzo, “Deep learning-aided optical IM/DD OFDM approaches the throughput of RF-OFDM,” IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 212-226, Jan. 2022. https://ieeexplore.ieee.org/abstract/document/9605573


  • Python 3.7
  • Tensorflow 2.0


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