We consider a trainable point-to-point communication system, where both transmitter and
receiver are implemented as neural networks (NNs), and demonstrate that training on the bit …

Nowadays, Neural network (NN) has been proved to be an effective solution for nonlinear
equalization in short reach optical systems. However, recent research has mainly focused …

The fifth generation is the most recent generation of communication needed for high data
rates. High spectrum availability, low jitter, high reliability, minimal latency, and increased …

The demand for network capacity has been steadily increasing in recent decades due to the
growth of new digital applications and services. Optical fiber supports to solve and avoid …

The surge in interest regarding the next generation of optical fiber transmission has
stimulated the development of digital signal processing (DSP) schemes that are highly cost …

Deep learning is now playing a major role in designing photonic devices, including
nanostructured photonics. In this article, we investigate three models for designing …

Modern communication generation for high data rate requirement is fifth generation. The fifth
generation has many advantages like low delay, high spectrum availability, high reliability …

Semiconductor optical amplifier (SOA) is a promising solution for future O-band optical
amplification. However, the SOA-induced nonlinearity will affect the quality of the signals …

Bidirectional recurrent neural networks (bi-RNNs), in particular bidirectional long short term
memory (bi-LSTM), bidirectional gated recurrent unit, and convolutional bi-LSTM models …

We propose a multiplier-less deep neural network (DNN) to mitigate fiber-nonlinear
distortion of shaped constellations. Our DNN achieves an excellent performance-complexity …