Fiber neural networks for the intelligent optical fiber communication signal processing

Optical neural networks have long cast researchers’ attention nowadays. Like other optical structured neural networks, fiber neural networks which utilize the mechanism of light transmission to compute can take great advantages in both computing efficiency and power cost. Though the potential ability of optical fiber was demonstrated via the establishing of fiber neural networks, it will be of great significance of combining both fiber’s transmission and computing functions so as to cater the needs of future beyond 5 G intelligent communication signal processing. Thus, in this manuscript, the fiber neural network scheme for fiber optical communications is developed. Once adopted, information derived from the transmitted signals can be directly processed in the optical domain rather than being converted to the electronic domain. As a result, both prominent gains in processing efficiency and power cost can be further obtained. The fidelity of the whole structure and related methods is demonstrated by the task of modulation format recognition which plays important role in today’s fiber optical communications without losing the generality.