Add to ORKGA novel artificial neural network equalizer for use in short-reach optical links is proposed. 112Gb/s and 56Gb/s CAP-16 data transmission are demonstrated by simulation and experiment respectively with receiver sensitivities of -4 and -7 dBm
We reviewed two promising NN based equalizers for IM/DD transmission links: 1. Time delay Feedforwar...
We propose and demonstrate a bidirectional Vanilla recurrent neural network (Vanilla-RNN) based equa...
Nonlinear distortion has always been a challenge for optical communication due to the nonlinear tra...
We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) fo...
A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonst...
We propose a novel design of neural networks for mitigating the fiber nonlinearity, employing a stru...
The computational complexity and system bit-error-rate (BER) performance of four types of neural-net...
An attention mechanism is integrated into neural network-based equalizers to prune the fully-connect...
A novel equaliser that mitigates phase non-linearity in short-reach optical links is proposed. It is...
112 Gb/s data transmission over 150 m MMF with a BER within the HD-FEC threshold is experimentally d...
Short reach optical fiber communications rely on the intensity modulation/direct detection (IM/DD) t...
We evaluate improvement in the performance of the optical transmission systems operating with the co...
In this paper, we review recent work on the development of a novel low-complexity equalizer that can...
We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver...
We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate optical c...
We reviewed two promising NN based equalizers for IM/DD transmission links: 1. Time delay Feedforwar...
We propose and demonstrate a bidirectional Vanilla recurrent neural network (Vanilla-RNN) based equa...
Nonlinear distortion has always been a challenge for optical communication due to the nonlinear tra...
We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) fo...
A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonst...
We propose a novel design of neural networks for mitigating the fiber nonlinearity, employing a stru...
The computational complexity and system bit-error-rate (BER) performance of four types of neural-net...
An attention mechanism is integrated into neural network-based equalizers to prune the fully-connect...
A novel equaliser that mitigates phase non-linearity in short-reach optical links is proposed. It is...
112 Gb/s data transmission over 150 m MMF with a BER within the HD-FEC threshold is experimentally d...
Short reach optical fiber communications rely on the intensity modulation/direct detection (IM/DD) t...
We evaluate improvement in the performance of the optical transmission systems operating with the co...
In this paper, we review recent work on the development of a novel low-complexity equalizer that can...
We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver...
We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate optical c...
We reviewed two promising NN based equalizers for IM/DD transmission links: 1. Time delay Feedforwar...
We propose and demonstrate a bidirectional Vanilla recurrent neural network (Vanilla-RNN) based equa...
Nonlinear distortion has always been a challenge for optical communication due to the nonlinear tra...