Abstract
In this paper, an artificial-intelligence-based fiber communication receiver model is put forward. With the multi-head attention mechanism it contains, this model can extract crucial patterns and map the transmitted signals into the bit stream. Once appropriately trained, it can obtain the ability to restore the information from the signals whose transmission distances range from 0 to 100 km, signal-to-noise ratios range from 0 to 20 dB, modulation formats range from OOK to PAM4, and symbol rates range from 10 to 40 GBaud. The validity of the model is numerically demonstrated via MATLAB and Pytorch scenarios and compared with traditional communication receivers.
© 2023 Chinese Laser Press
PDF Article
More Like This
Secure semantic optical communication scheme based on the multi-head attention mechanism
Yilan Ma, Jianxin Ren, Bo Liu, Yaya Mao, Xiangyu Wu, Shuaidong Chen, Yiming Ma, Lei Jiang, Mengjie Wu, Nan Zhao, Juntao Zhang, Yongfeng Wu, and Rahat Ullah
Opt. Lett. 48(16) 4408-4411 (2023)
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription