Abstract: A multi-access edge computing device may receive historical content data associated with a content application of a user equipment and may process the historical content data, with a machine learning model, to identify content to cache for the user equipment. The multi-access edge computing device may provide, to a content provider device, a request for the content to cache and may receive, from the content provider device, the content to cache based on the request for the content to cache. The multi-access edge computing device may process the content to cache, with a document object model and a browser object model, to generate intermediary content that corresponds to the content to cache. The multi-access edge computing device may store the intermediary content in a data structure associated with the multi-access edge computing device.

Abstract: An intermediate IAB node may determine whether congestion data satisfies a first threshold and may provide the congestion data to a parent IAB node when the congestion data satisfies the first threshold to cause the parent IAB node to apply local congestion control.

Abstract: A Multi-access Edge Computing (MEC) device receives first parameters associated with a user device from a first radio access network (RAN) device. The MEC device performs functions associated with an application being executed by the user device and the MEC device is co-located with the RAN device. The MEC device receives second parameters associated with the user device from a core network device. The MEC device modifies performance of the functions based on the received first and second parameters and provides third parameters associated with the user device to a second RAN device that is co-located with the MEC device for adjusting performance of a network.

Abstract: A device may receive a request to establish a session for a wireless communication device over a wireless network; identify the wireless communication device as an unmanned aerial vehicle; modify operating parameters of a radio access network (RAN), with which the wireless communication device has a radio resource control (RRC) link, to optimize communication between the access network and the unmanned aerial vehicle. The wireless network includes the RAN.

Abstract: A method and device is disclosed to select a network access link for an application in a user equipment (UE) device to use for communicating with a network. The method may include determining a plurality of network access links associated with the UE device and determining one or more criteria associated with a request to access a network. The criteria may include throughput, financial cost, latency, or signal strength. The method may include determining a score for each of the plurality of network access links with respect to the criteria. The score score may be based on historical data related to the criteria. The method may include comparing the score for each of the plurality of network access links with the criteria and selecting one of the network access links for an application to use to communicate with the network.

Abstract: A Multi-access Edge Computing (MEC) device receives first parameters associated with a user device from a first radio access network (RAN) device. The MEC device performs functions associated with an application being executed by the user device and the MEC device is co-located with the RAN device. The MEC device receives second parameters associated with the user device from a core network device. The MEC device modifies performance of the functions based on the received first and second parameters and provides third parameters associated with the user device to a second RAN device that is co-located with the MEC device for adjusting performance of a network.

Abstract: A Multi-access Edge Computing (MEC) device receives first parameters associated with a user device from a first radio access network (RAN) device. The MEC device performs functions associated with an application being executed by the user device and the MEC device is co-located with the RAN device. The MEC device receives second parameters associated with the user device from a core network device. The MEC device modifies performance of the functions based on the received first and second parameters and provides third parameters associated with the user device to a second RAN device that is co-located with the MEC device for adjusting performance of a network.

Abstract: Devices, methods, and computer-readable media described herein and provide for sending, by a first wireless station, a suspend message to a second wireless station associated with a radio resource control (RRC) session for a dual connectivity (DC) capable user equipment (UE) device that places the DC capable UE device in an RRC inactive mode; storing, by the first wireless station, UE context information from a core network for the DC capable UE device for the RRC session; and evaluating, by the first wireless station, a set of criteria to determine whether to also store the UE context information at the second wireless station

Abstract: A system described herein may provide a technique for enhanced authentication techniques that leverage network-based location determination of UEs, such as mobile telephones or other devices that communicate with a wireless network. For example, a wireless network may monitor, determine, or otherwise maintain information regarding the geographic location of User Equipment (“UEs”) that are associated with the wireless network. Some embodiments may utilize such network-monitored location information to verify that a participant device, associated with a given UE, is located within a particular proximity of the UE when performing an authentication process to receive services or resources.

Abstract: A system described herein may provide for the tracking and/or calculating of performance metrics associated with a network by marking traffic and determining performance characteristics of the marked traffic. Such performance characteristics or metrics may include throughput, latency, jitter, and/or other metrics. The marking may be performed on “user” traffic, which may be traffic that is generated or sent via the network by an application or service (e.g., a voice call service, a content streaming service, etc.), as opposed to “synthetic” or “test” traffic, which is traffic that is generated or sent for the purposes of testing performance of the network (e.g., traffic related to a “speed test” or the like).

Abstract: A system described herein may provide a technique for the network-implemented detection of locations that exhibit excessive density of individuals, and/or for the detection of individuals who do not maintain a minimum level of distance between each other. Location information of one or more User Equipment (“UEs”) may be monitored and compared to policy information to determine that the locations exhibit at least a threshold level of population density. Further, remedial measures may be taken when such situations are detected, such as alerting devices that are located within, or are heading towards, such locations.

Abstract: A system described herein may provide a technique for adaptive and dynamic beamforming in a radio access network (“RAN”) of a wireless network, based on information received from User Equipment (“UEs”) connected to the RAN, and/or information that can be attributed to UEs and/or users associated with UEs connected to the RAN. For example, a Beam Load Balancing System (“BLBS”) of some embodiments may use such information to identify beams, of one or more base stations, for which a configuration should be modified in order to provide RF connectivity to one or more UEs in a manner that optimizes Quality of Service (“QoS”) provided to the UEs and/or efficiently utilizes network resources.

Abstract: A network device may be configured to: send a preemptive scheduling request to an Integrated Access and Backhaul (IAB) node over a wireless link between the network device and the IAB node; receive a scheduling grant from the IAB node over the wireless link; and send data to the IAB node over the wireless link at times indicated by the scheduling grant from the IAB node.

Abstract: An illustrative network management system obtains sensor data from one or more sensors at a network facility at which network equipment of a communication network is deployed. The sensor data includes image data representing imagery of the network facility. The system determines a utilization of a utility at the network facility based on the sensor data and performs, based on the utilization, a management operation for the communication network. Corresponding methods and systems are also described.

Abstract: A system described herein may provide a technique for the discovery and connection of Mesh Distributed Units (“MDUs”), which may establish a mesh topology and perform wireless backhaul of data between a core network and a User Equipment (“UE”). Multiple MDUs in an MDU network may be connected to establish an MDU route. One or more connected MDUs may broadcast an indication that the MDU is available to connect, one or more performance metrics, or an MDU performance score based on performance metrics. This broadcast may iteratively repeat in order to refine the mesh network topology in an ongoing process.

Abstract: A system described herein may provide for the tracking and/or calculating of performance metrics associated with a network by marking traffic and determining performance characteristics of the marked traffic. Such performance characteristics or metrics may include throughput, latency, jitter, and/or other metrics. The marking may be performed on “user” traffic, which may be traffic that is generated or sent via the network by an application or service (e.g., a voice call service, a content streaming service, etc.), as opposed to “synthetic” or “test” traffic, which is traffic that is generated or sent for the purposes of testing performance of the network (e.g., traffic related to a “speed test” or the like).

Abstract: A device of a network may receive a session configuration message for an application session associated with an application of a user equipment (UE) that provided the session configuration message. The device of a network may identify, from the session configuration message, a quality of service (QoS) profile for the application session. The device of a network may determine that the application is authorized to use a network slice of the network that satisfies one or more QoS thresholds of the QoS profile. The device of a network may identify resources of the network that can be configured to satisfy the one or more QoS thresholds. The device of a network may instantiate the resources for communication of application data of the application session. Instantiating the resources may enable the UE to communicate the application data via the network slice using the resources.

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: A system described herein may provide a technique for enhanced authentication techniques that leverage network-based location determination of UEs, such as mobile telephones or other devices that communicate with a wireless network. For example, a wireless network may monitor, determine, or otherwise maintain information regarding the geographic location of User Equipment (“UEs”) that are associated with the wireless network. Some embodiments may utilize such network-monitored location information to verify that a participant device, associated with a given UE, is located within a particular proximity of the UE when performing an authentication process to receive services or resources.

Abstract: A method may include transmitting multiple antenna beams to an unmanned aerial vehicle (UAV) and determining a location of the UAV. The method may also include identifying a network slice to service the UAV, assigning the identified network slice to the UAV and performing antenna beam management for the UAV while the UAV is in flight.