The trade-off between more user bandwidth and quality of service requirements introduces
unprecedented challenges to the next generation smart optical networks. In this regard, the …

We experimentally demonstrate a modulation format identification (MFI) and optical signal-to-
noise ratio (OSNR) monitoring method for digital coherent receivers by using the specific …

Parallel physical reservoir computing (RC) overcomes some obstacles of the single RC,
including issues related to large-scale processing and limited performance. In this work, we …

A lightweight convolutional (deep) neural networks (CNNs) based modulation format
identification (MFI) scheme in 2D Stokes planes for polarization domain multiplexing (PDM) …

Deep neural network (DNN) enabled optical SNR (OSNR) monitoring is vital to facilitate the
management of agile optical networks. However, both the scale size and the implementation …

An effective and blind modulation format identification (MFI) scheme based on intensity
profile features is proposed for digital coherent receivers of elastic optical networks. Here …

The problem of automatic modulation format identification (MFI) is one of the main
challenges in adaptive optical systems. In this work, we investigate MFI in super-channel …

A joint and robust optical signal-to-noise ratio (OSNR) and modulation format monitoring
scheme using an artificial neural network (ANN) is proposed and demonstrated via both …

By using a modified particle swarm optimization (M-PSO) design, a novel and blind
modulation format identification (MFI) scheme was proposed for elastic optical networks …

We propose a blind and low-complexity modulation format identification (MFI) scheme for
elastic optical networks (EONs). Since the square operation reduces half the number of the …