Abstract: A device may provide a signal with a first wavelength and a second wavelength to a fiber cable, and may receive an intensity change measurement of backscattered light based on the first wavelength of the signal. The device may receive a differential phase change measurement of the backscattered light based on the second wavelength of the signal, and may determine whether there is a fiber loss change, a fiber length change, and/or a fiber cut associated with the fiber cable based on the intensity change measurement. The device may determine whether there is an abnormal event associated with the fiber cable based on the differential phase change measurement, and may report one or more of the fiber loss change, the fiber length change, the fiber cut, or the abnormal event.

Abstract: A device may receive a list of 4G base stations and 5G base stations associated with outages and identifiers of FWA CPEs associated with the 4G base stations and the 5G base stations, and may filter identifiers of the FWA CPEs from the list, that fail to satisfy an age out time period, to generate a filtered list. The device may determine whether all 4G base stations are out of service for a particular identifier of remaining identifiers included in the filtered list, and may identify a particular FWA CPE associated with the particular identifier as out of service. The device may determine whether all 5G base stations, associated with operational 4G base stations, are out of service for the particular identifier, and may identify the particular FWA CPE associated with the particular identifier as having only 4G service.

Abstract: The present teaching relates to impression count determination. A forecasting time series (TS) model is established based on measured impression counts (MI-counts). Metrics are calculated from MI-counts from a sub-range of a profile. Different types of data characteristics are detected based on the metrics. Hybrid correction applied to the profile is determined based on the detected data characteristics. Corrected impression counts (I-counts) for the profile are generated via the hybrid correction operation based on the MI-counts and I-counts estimated from the forecasting TS models and provided for determining a level of viewership of the content at the site.

Abstract: A network device may receive a first frequency, time, and phase synchronization from a first occupied bandwidth (OBW) portion provided by the network device, and may utilize the first frequency, time, and phase synchronization when providing first services to the first OBW portion. The network device may receive a second frequency, time, and phase synchronization from a second OBW portion provided by the network device, and may utilize the second frequency, time, and phase synchronization when providing second services to the first OBW portion.

Abstract: A user device presents a user interface (UI) that enables user selection or entry of configuration parameters for configuring a location spoofing detection service to be performed for at least one wireless device. The user device receives, via the UI, configuration parameters that comprise one or more user-selected location determining sources, selected from among multiple different location determining sources presented via the UI, for use in performing the location spoofing detection service. The user device sends the configuration parameters to another device for configuring the location spoofing detection service for the at least one wireless device.

Abstract: A system described herein may maintain records, in a distributed ledger, that include parameters (e.g., Quality of Service (“QoS”) parameters and/or Multi-Access/Mobile Edge Computing (“MEC”) device management parameters) that are associated with particular applications and/or MEC operator systems. The system may identify a particular record, from the distributed ledger, that is associated with a particular MEC operator system. The particular record may indicate a first set of MEC configuration parameters implemented by the MEC device operator system, and one or more triggers based on which the first set of MEC configuration parameters were implemented by the MEC device operator system. The system may record a set of modified application parameters, that are generated based on the identified first set of MEC configuration parameters and the one or more triggers, to the distributed ledger.

Abstract: Systems and methods leverage trust anchors to generate tokens which can then be used by network functions (NFs). A virtualization infrastructure manager (VIM) for a virtualized platform receives a NF software package and a certificate request token (CRT) from a management function. The NF is a virtual NF, a containerized NF, or another virtual entity (xNF) to be deployed. The CRT is digitally signed by the management function and includes a network address of a trust anchor platform and a NF profile. The VIM deploys the NF and provides the CRT to the NF. The NF obtains from the CRT the network address of the trust anchor platform, generates a certificate signing request (CSR) for a digital certificate, and submits the CSR and the CRT to the trust anchor platform. The NF receives a digital certificate from the trust anchor platform based on validation of both the CSR and CRT.

Abstract: A device may receive, at an operating system, a request for a random number from an application. The device may provide a command to generate an entropy input, based on the request for the random number and through a driver that is isolated from the operating system, to a quantum random number generator that is isolated from one or more processors hosting the operating system. Accordingly, the device may receive the entropy input, from the quantum random number generator, using the driver, and may generate the random number based at least in part on the entropy input. The device may provide the random number to the application.

Abstract: A system and method generates and recommends a short and pleasant path between a source s and destination d in a geo-location such as a city or city center. The routes are not only short but emotionally pleasant, offering an engaging user experience, going beyond just showing paths on a map.

Abstract: A method, a device, and a non-transitory storage medium provide for provisioning network resources of multi-access edge computing (MEC) networks in support of an application service session for an end device; assigning an IP address to the end device for use in a first coverage area served by a first MEC network of the MEC networks; receiving, by a first application function (AF) device at the first MEC network, a session mobility notification for the end device with respect to the first coverage area and a second coverage area served by a second MEC network of the MEC networks; setting, responsive to the session mobility notification, an allotted time for relocating the application service session from the first MEC network to the second MEC network; and transferring, during the allotted time, application context corresponding to the relocated application service session to a second AF device at the second MEC network.

Abstract: An exemplary method includes a gesture recognition system determining, based on imagery of a user while the user touchlessly interacts with a user interface of a computer system, a configuration of a plurality of landmarks associated with the user and comparing the configuration of the plurality of landmarks to defined landmark configurations associated with a plurality of defined gestures. Each of the plurality of defined gestures may be associated with a different user input enterable by way of the user interface of the computer system. The method may further include the gesture recognition system selecting, based on the comparing of the configuration of the plurality of landmarks to the defined landmark configurations associated with the plurality of defined gestures, a defined gesture included in the plurality of defined gestures, and directing the computer system to enter a user input that is associated with the defined gesture.

Abstract: A device may receive an image and may process the image, with a first model or a second model, to convert the image into a binary image. The device may generate an identifier that identifies the first model, or identifies the second model and a color removed from the image, and may utilize clustering to cluster pixels of the binary image and to generate a segmented image with a quantity of segments. The device may generate a particular number of segments to select, and may select the particular number of segments, as selected segments, from the quantity of segments. The device may mask the selected segments to generate a protected image with masked segments, and may associate the protected image with the identifier and with original pixel data of the masked segments. The device may store the protected image, the identifier, and the original pixel data in a data structure.

Abstract: A device can receive a request for a schedule that assigns a fleet of vehicles to a set of deliveries. The device can determine that a parameter is not included in the request that is needed to generate a new schedule or that is needed to generate an existing schedule. The device can obtain the parameter using a historical user request, a historical schedule, or a scheduling template. The device can generate or obtain the schedule based on information included in the request and the obtained parameter. The device can provide the schedule to a user device and/or to one or more devices associated with the fleet of vehicles carrying out the set of deliveries. The device can modify the schedule based on a trigger. The device can provide the modified schedule to the user device and/or to the one or more devices associated with the fleet of vehicles.

Abstract: A base station may allocate wireless communication resources to configure a synthetic wireless communication signal for use as a radar signal. The synthetic wireless communication signal may be configured according to a wireless communication protocol of a wireless communication network that is associated with the base station. The base station may transmit, from an antenna and toward an area associated with the base station, the synthetic wireless communication signal. The base station may detect a reflected signal that is associated with the synthetic wireless communication signal. The base station may process the reflected signal to generate radar data; and perform an action associated with the radar data and the area.

Abstract: Techniques for analyzing audiovisual content, such as streaming content are disclosed. In one embodiment, a method is disclosed comprising obtaining a frame of audiovisual content, using a video decoder to decode compressed model weights of at least one trained model, using the at least one trained model with the decoded weights to analyze the frame and extract content based on the analysis, using the extracted content to make a determination that the audiovisual content comprises a category of content, and causing actionable information to be transmitted to a client device of a user in response to the determination that the audiovisual content comprises the category of content.

Abstract: A device may receive user device application performance logs, radio access network (RAN) performance logs, and multi-access edge computing (MEC) compute logs, and may train a machine learning model with the user device application performance logs, the RAN performance logs, and the MEC compute logs. The device may identify application capacity requirements and MEC compute requirements associated with images of RAN coverage areas of RANs, and may generate labeled and normalized images of RAN coverage areas. The device may receive real time MEC compute data, RAN performance data, and user device application data, and may identify one of the labeled and normalized images of the RAN coverage areas that matches a RAN coverage area of a particular RAN. The device may predict an application capacity and MEC compute requirements for the particular RAN, and may perform one or more actions based on the application capacity and the MEC compute requirements.

Abstract: A system described herein may register a particular radio access network (“RAN”)-based interface, such as a R1 interface, with a RAN, such as an Open-RAN (“O-RAN”). The system may further be associated with a particular Service-Based Interface (“SBI”) of a core network that includes a plurality of network functions (“NFs”), where each NF is associated with a respective SBI. The system may receive, via the particular SBI, a request for RAN information from one or more NFs of the core network, obtain the RAN information from the RAN via the particular interface, output the requested RAN information to the one or more NFs of the core network via the particular SBI. Associating the system with the SBI may be performed without modifying a Network Repository Function (“NRF”) of the core network.

Abstract: A first User Equipment (“UE”) may communicate with a second UE via a communication link to determine an operational status of the second UE. The second UE may be connected to a network via one or more communication sessions. The first UE may determine, based on the communication link, that the second UE is non-operational, and may output, based on determining that the second UE is non-operational, a request to communicate with the network via the one or more communication sessions associated with the second UE. The network may modify the one or more communication sessions to be associated with the first UE based on the request, and the first UE may communicate with the network via the one or more modified communication sessions.

Abstract: A vehicle routing platform may store, in a first data structure, a value at a logical index for each pair of locations of a plurality of pairs of locations. The logical index, for a pair of locations, indicates whether a travel time has been determined. The vehicle routing platform may store, in a second data structure, an offset index for each predetermined logical index of one or more predetermined logical indexes of the first data structure. The offset index, for a predetermined logical index, may be based on a quantity of logical indexes preceding the predetermined logical index in the first data structure. The vehicle routing platform may store, in a third data structure, travel times between pairs of locations of a portion of the plurality of pairs of locations. The vehicle routing platform may determine a travel time, between a pair of locations, using the data structures.

Abstract: A system described herein may register a particular Service-Based Interface (“SBI”) with a core network (e.g., a Fifth Generation core (“5GC”)). The core network may maintain information associating the system with the particular SBI. The system may request core network information, associated with the core network, from the core network. The core network may provide the requested core network information to the device via the registered particular SBI. The system may provide the core network information, received via the particular SBI, to a radio access network (“RAN”), such as an Open-RAN (“O-RAN”), which may modify RAN configuration parameters based on the provided core network information. The system may also receive requests for RAN information from the core network via the SBI, may obtain the information from one or more elements of the RAN, and may provide the requested RAN information to the core network via the SBI.