Optical communication networks use electrical constellation converters requiring optical-electrical-optical conversions and expensive symbol-rate limiting electronics. In this paper, a generic method for all-optical silicon-photonic conversion of amplitude-phase modulation formats is proposed. The method is based on the implementation of single-layer radial basis function neural networks. A mathematical model is developed, and the parameters influencing the performance of the method are analyzed. Full optical simulation of a four-symbol constellation conversion was performed, resulting in error-free converted constellation that has an error vector magnitude lower than 2.5%.
|Journal||IEEE Photonics Journal|
|State||Published - 1 Apr 2015|
- Fiber-optic communications
- integrated optics
- neural networks
- silicon optoelectronics.
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering