Abstract The integration of high-speed optical communication and distributed sensing could bring intelligent functionalities to ubiquitous fibre networks, such as urban structure imaging, ocean seismic detection, safety monitoring underground embedded pipelines. This work demonstrates a scheme integrated in an (ISAC-OF) using the same wavelength channel for simultaneous data transmission vibration sensing. not only extends functionality system, but also improves its performance. A periodic...

An all-fiber approach to generate triangular-shaped pulses based on frequency-to-time conversion is proposed and demonstrated. Two filter modules that have sinusoidal spectral responses are cascaded create a optical spectrum. Through the in dispersive fiber, periodic triangular with same shape as spectrum obtained. The repetition rate pulse width of generated signals can be tuned by adjusting modulation dispersion value, respectively.

Increasing the system capacity and spectral efficiency (SE) per unit bandwidth is one of ultimate goals for data network designers, especially when using technologies compatible with current embedded fiber infrastructures. Among these, polarization-division-multiplexing (PDM) scheme, which supports two independent channels on a single wavelength orthogonal polarization states, has become standard in most state-of-art telecommunication systems. Currently, however, only states (that is, PDM)...

Chaotic optical communication technology is considered as an effective secure technology, which can protect information from a physical layer and compatible with the existing networks. At present, to realize long-distance chaos synchronization still very difficult problem, mainly because well-matched hardware cannot always be guaranteed between transmitter receiver. In this Letter, we introduce long short-term memory (LSTM) networks learn nonlinear dynamics model of opto-electronic feedback...

A chaotic optical communication scheme assisted by artificial intelligence (AI) method is proposed. Different from other traditional solutions, the chaos synchronization of proposed accomplished via an AI-based optoelectronic oscillator (AI-OEO) model and a QPSK driving signal distorted chromatic dispersion. Specifically, excites AI-OEO to generate for encryption decryption. One significant advantage that strict dependence on physical devices can be reduced using deep learning technology...

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 features of received signals' density distributions in Stokes axes combined with deep neural networks (DNNs). The distribution fitting curves S1 S2 depend on signal's OSNR. proposed technique extracts these curves' first-order derivation MFI OSNR monitoring, order to improve probability correct estimation...

With high-bandwidth and on-demand applications continuing to emerge, next-generation core optical networks will likely require significant improvements in reconfigurability ultra-fast operations. Optical signal processing overcomes the electronic bandwidth limitations with advantages terms of transparency scalability. We review recent progresses all-optical potentially for ultrahigh speed systems networks. Starting from a brief overview high-speed networks, we highlight few key network...

Optical modulation format identification is critical in the next generation of heterogeneous and reconfigurable optical networks. Here, we present a blind method by applying fast density-peak-based pattern recognition autonomous receiver elastic In this paper, find that different types show energy level features which can be used as metric to identify these formats two-dimensional Stokes plane. The proposed does not require training symbols, insensitive carrier phase noise, frequency offset...

Recent demonstrations of chaos-based secure communication have proven the feasibility secured transmission high-speed (tens Gbit/s) signals over certain distances (∼100-km), which bring hope for from theoretical analysis to practical applications. So far, system with chaos-masking (CMS) encryption is considered as one most important and feasible schemes. In this paper, an optical chaotic carrier generated by opto-electronic oscillator used encrypt 112-Gbit/s message CMS data a 1040-km...

A probabilistic shaping (PS) quadrature amplitude modulation (QAM) based on Y-00 quantum noise stream cipher (QNSC) has been proposed. We experimentally demonstrated this scheme with data rate of 201.6Gbit/s over a 1200-km standard single mode fiber (SSMF) under 20% SD-FEC threshold. Accounting for the FEC and 6.25% pilot overhead, achieved net is ∼160Gbit/s. In proposed scheme, mathematical (Y-00 protocol) utilized to convert original low-order PS-16 (22 × 22) QAM into ultra-dense...

A simple demodulation method for a fiber Bragg grating (FBG) temperature sensor is proposed and demonstrated, which uses low cost commercial temperature-controlled wavelength scanning distributed-feedback (DFB) laser, sensing FBG low-speed photodetector (PD). Relative high resolution achieved by utilizing an with enhanced sensitivity design. Such may be suitable applications requiring moderate implementations.

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, different types present features, which can be regarded as a classification metric. The requires no prior training independent carrier phase noise or frequency offset. Besides, signal ratio (OSNR) values do not need to pre-known in the process. In this paper, first step our classify classes numbers peak points,...

An intelligent optical performance monitoring scheme for simultaneous modulation format identification (MFI) and signal-to-noise ratio (OSNR) is proposed experimentally demonstrated in digital coherent receivers. The introduces convolutional neural network (CNN) to automatically extract monitor OSNR dependent features (the empirical distribution of intensity differential-phase) which can be obtained after constant modulus algorithm (CMA) equalization. experiment results show that 100%...

Data-dependent channel cross-modulation (XM) in multiband radio-over-fiber (RoF) systems have been investigated and illustrated for the first time. Nonlinear XM behaviors induced by a Mach–Zehnder modulator (MZM), including intra-band between in-phase (I) quadrature (Q) components of vector signals, as well inter-band multiple bands scalar/vector studied closed-form theoretical analysis, validated experimental measurements. Consistent results obtained both investigations. It was demonstrated...

We propose a M-QAM chaotic optical communication system under amplitude and phase encryption. In the legitimate transmitter (Alice), we first design an electro-optic nonlinear delay source which can provide intensity carriers ∼15GHz bandwidth. The plaintext signal is masked by both for ensuring safety of information signal. receiver (Bob), encrypted after chromatic dispersion compensation fiber decrypted open-loop synchronization operation. Subsequently, processed offline digital processing...

An all-fiber approach to generate phase-coded microwave signals, based on spectral shaping and a frequency-to-time conversion, is proposed experimentally demonstrated. A phase modulator cascaded by filter module that has sinusoidal response used create frequency-shifted optical spectrum. Microwave pulses with the same shape as spectrum are obtained through conversion in dispersive fiber. The of generated radio frequency signals can be continuously shifted tuning applied voltage modulator.

A model construction scheme of chaotic optoelectronic oscillator (OEO) based on the Fourier neural operator (FNO) is proposed. Different from conventional methods, we learn nonlinear dynamics OEO (actual components) in a data-driven way, expecting to obtain multi-parameter for generating carrier with high-efficiency and low-cost. FNO deep learning architecture which utilizes network as parameter structure trajectory family equations training data. With assistance FNO, characterized by...

In this paper, a novel deep learning architecture, Fourier neural operator (FNO), has been introduced to ap-proximate the nonlinear Schrodinger equation which characterizes fiber transmission impairments such as attenuation, chromatic dispersion, impairments, etc. The proposed scheme is firstly verified via numerical simulation in 28-GBaud 4QAM/16QAM/64QAM systems over 1200-km standard single mode (SSMF) under different launch powers. results show that mean square errors (MSEs) are less than...

We propose and experimentally demonstrate an all-fiber-based approach to generate microwave signals with tunable frequency pulse width. The adjustable optical power spectrum can be achieved using a shaper, consisting of variable differential-group-delay element bandwidth-tunable filter. Through the frequency-to-time conversion in dispersive fiber, width obtained user defined by modifying shape.

This paper considers Godard's error as signal quality metric to monitor chromatic dispersion (CD), nonlinear parameter and modulation format in the DSP module of coherent receivers. We first review a CD monitoring based on that can be able accurately arbitrarily large values uncompensated transmission links combination with frequency domain equalizer, then extend previous method by blindly obtaining optimized value γξp significantly improve adaptive capability, present simple effective...

Due to the interaction between chromatic dispersion (CD) and direct detection, CD induced power-fading effect has been considered as key point limit transmission rate distance in intensity modulation direct-detection (IM/DD) systems. Besides, performance of IM/DD systems will be further affected by bandwidth limitation nonlinearity effect. In this paper, we propose a low complexity nonlinear equalizer (NLE) based on temporal convolutional neural network (TCNN) regression model which combines...

We propose a configuration of signal multiplexing with four polarization states, and investigate its transmission performance over single-mode-fiber links. Assisted by coherent detection digital processing (DSP), the demodulation four-polarization multiplexed (4PM) on-off-keying (OOK) phase-shift-keying (PSK) signals are achieved. then discuss impact crosstalk from mode dispersion (PMD) on 4PM systems. The distance is extended ~50-km to ~80 km employing feedback-decision-equalizers. also...

A novel and blind optical modulation format identification (MFI) scheme assisted by signal intensity fluctuation features is proposed for autonomous digital coherent receivers of next generation network. The MFI needn’t to pre-know OSNR value incoming signal, even though it well known that the dependent changes as change performance. Here, firstly utilizes two kinds features, Godard’s criterion error noise variance, construct a two-dimensional (2D) plane where three different regions which...