H04B10/0773

ROUTING OF OPTICAL SIGNALS
20220360334 · 2022-11-10 · ·

A method may include obtaining a topology of an optical network. The topology may indicate multiple optical links within the optical network. The method may also include determining a signal noise tolerance for each of multiple optical signal types supported by the optical network and obtaining an optical noise for each of the multiple optical links. The method may also include determining a number of the multiple optical signal types that each of the multiple optical links is able to support based on the optical noise for each of the optical links and the signal noise tolerance for each of the multiple optical signal types and ranking the multiple optical links based on the number of the multiple optical signal types that each of the optical links is able to support.

Optical Fiber Connection Detection Method and Related Device
20220345800 · 2022-10-27 ·

Embodiments of the present application disclose an optical fiber connection detection method and a related device. A first network device obtains first label information, which indicates a target optical output interface, and the target optical output interface is one of at least one optical output interface of the first network device; the first network device generates an optical signal, where a wavelength of the optical signal is within a wavelength range corresponding to the target optical output interface; the first network device modulates the first label information onto the optical signal, to generate a modulated optical signal; and the first network device sends the modulated optical signal from the target optical output interface to a target optical input interface of a second network device, to detect an optical fiber connection relationship between the target optical output interface and the target optical input interface.

Systems and methods for mapping optical connections in a fiber distribution hub of a passive optical network

Systems and methods for mapping optical connections in an FDH are disclosed. An example system includes an FDH and a computing device. The FDH includes a bulkhead having: a plurality of passive optical couplers each having a respective first port to receive a respective first optical fiber, a respective second port to receive a respective second optical fiber, and a respective passive optical activity indicator configured to expose first light propagating in the respective first optical fiber, and second light propagating in the respective second optical fiber; and an image sensor configured to capture one or more images of the plurality of passive optical activity indicators. The computing device configured to, based on the one or more images, determine which of the plurality of passive optical couplers are receiving a first optical signal at their respective first port and/or receiving a second optical signal at their respective second port.

INFRASTRUCTURE INTEGRITY AND ATTESTATION OF AN ALL-PHOTONICS NETWORK
20220345212 · 2022-10-27 ·

A data communication network includes a network node and a processor. The network node includes an optical link and a reflectometry analyzer to provide a plurality of reflectometry results, each reflectometry result providing a characterization of physical and operational properties of the optical link at the time of the reflectometry result. The processor receives a first set of the reflectometry results, and calculates a federated fingerprint of the physical and operational properties of the optical link based on the plurality of fingerprints in first set of the reflectometry results. The federated fingerprint is a combination of fingerprints from every section of the optical link. The processor receives a second set of the reflectometry results, and compares each of a plurality of fingerprints in the second set of reflectometry results with a respective corresponding fingerprint in the federated fingerprint. The processor determines whether a physical tampering of the optical link has occurred based upon the comparison.

REAL-TIME HEALTH MONITORING IN AN ALL-PHOTONICS NETWORK
20220345215 · 2022-10-27 ·

An information handling system includes a plurality of network nodes and a processor. The network nodes each include an optical link and a reflectometry analyzer. The reflection analyzers provide reflectometry results that each provide a characterization of physical properties of the associated optical link. The processor receives the reflectometry results, and, for each optical link, analyzes the reflectometry results to determine a fingerprint of the physical properties of the associated optical link. The processor further determines a status for each of the optical links based upon the associated fingerprints, and displays a map of the information handling system including each network node and the associated optical link, wherein the map provides an indication of the status for each of the optical links.

PERFORMANCE MONITOR FOR AN OPTICAL COMMUNICATION SYSTEM

A performance monitor configured to unify at least two different signal-quality estimates into a single performance metric such that a systematic error associated with the performance metric can be approximately constant or smaller than a specified fixed limit over a significantly wider range of data-link conditions than that of a conventional performance metric of similar utility. In an example embodiment, the performance metric can be based on a weighted sum of two different SNR estimates, obtained from an error count of the receiver's FEC decoder and from a constellation scatter plot generated using the receiver's symbol decoder, respectively. Different weights for the weighted sum may be selected for different data-link conditions, e.g., using SNR thresholding, analytical formulas, or pre-computed look-up tables. The performance metric may be supplied to a control entity and considered thereby as a factor in a possible decision to trigger protective switching and/or a transponder-mode change.

COMPUTATION OF OPTIMUM FIBER INPUT POWER
20230079797 · 2023-03-16 ·

Disclosed herein are methods and systems for computing a launch power for an optical node by collecting data for an optical network segment and inputting the collected data and first power spectral density values into a machine learning model which are used to compute a first non-linear interference value. A first generalized-optical signal-to-noise ratio value is computed using the computed first non-linear interference value and amplified spontaneous emission values. At least one second generalized-optical signal-to-noise ratio value is computed using at least one second non-linear interference value, computed using at least one second power spectral density values, and the amplified spontaneous emission values. A highest generalized-optical signal-to-noise ratio value is determined by comparing the first generalized-optical signal-to-noise ratio value and the at least one second generalized-optical signal-to-noise ratio value. A launch power is computed using the power spectral density values associated with the highest generalized-optical signal-to-noise ratio.

COMMUNICATION APPARATUS AND ERROR DETECTION METHOD

A communication apparatus includes a plurality of devices, each of the plurality of devices includes a monitoring unit configured to monitor at least one other device to detect an error that has occurred in the other device, and each of the plurality of devices is monitored by at least one other device.

OPTICAL SIGNAL PROCESSING METHOD, CONTROL UNIT, OPTICAL TRANSMISSION UNIT AND STORAGE MEDIUM
20230075025 · 2023-03-09 ·

An optical signal processing method, a control unit, an optical transmission unit and a storage medium are disclosed. The optical signal processing method includes: acquiring an OSNR value from an optical receiving unit (S100); acquiring a spectrum shaping adjustment parameter according to the OSNR value (S200); and sending the spectrum shaping adjustment parameter to an optical transmission unit to adjust a filtering parameter of a shaping filter of the optical transmission unit, so that the optical transmission unit adjusts a spectrum waveform of an optical signal by utilizing the shaping filter after adjustment (S300).

OPTICAL NETWORK SYSTEM, MANAGEMENT DEVICE, OPTICAL TRANSMISSION APPARATUS, AND COMMUNICATIONS DEVICE
20230127899 · 2023-04-27 ·

This application discloses an optical network system, a management device, an optical transmission apparatus, and a communications device, and belongs to the field of optical network technologies. A first communications device in the optical network system is configured to send physical information of the first communications device to a second communications device, where the physical information includes first module information of a first optical transmission apparatus. The second communications device is configured to determine a working status of the optical network system based on the first module information, second module information of a second optical transmission apparatus, and link information of an optical fiber link.