Abstract: A management system obtains, from a user device, information indicating a power measurement of a beam set that is utilized to communicate with the user device. The beam set includes one or more active beams, of a plurality of beams, that are associated with a single beam identifier. The management system identifies a location of the user device and thereby determines an expected power measurement of the beam set. The management system determines that a difference between the power measurement of the beam set and the expected power measurement of the beam set satisfies (e.g., is greater than or equal to) a difference threshold. The management system therefore causes the beam set to be modified. The management system may use a machine learning model (e.g., a neural network machine learning model) to facilitate modification of the beam set.

Abstract: In some implementations, a base station may provide a first continuous wave signal during a first period of time. The base station may receive, from a first device, a first response signal based on providing the first continuous wave signal. The base station may provide, to the first device, a second continuous wave signal during a second period of time subsequent to the first period of time, wherein the second continuous wave signal is provided based on receiving the first response. The base station may receive, from the first device, a second response signal based on providing the second continuous wave, wherein the second response signal includes device data obtained by the first device.

Abstract: A device may provide path data identifying a primary path and one or more alternate paths for segment routing traffic in the network, and may receive performance data indicating a performance degradation in the primary path. The device may determine that the performance data satisfies a first threshold, and may request, based on the performance data satisfying the first threshold, alternate path performance data. The device may receive the alternate path performance data based on the request, and may compare the alternate path performance data for the one or more alternate paths. The device may select a particular alternate path, of the one or more alternate paths, based on comparing the alternate path performance data for the one or more alternate paths, and may trigger, based on the performance data satisfying a second threshold, a failover of the traffic from the primary path and to the particular alternate path.

Abstract: In some implementations, a base station may provide a first continuous wave signal during a first period of time. The base station may receive, from a first device, a first response signal based on providing the first continuous wave signal. The base station may provide, to the first device, a second continuous wave signal during a second period of time subsequent to the first period of time, wherein the second continuous wave signal is provided based on receiving the first response. The base station may receive, from the first device, a second response signal based on providing the second continuous wave, wherein the second response signal includes device data obtained by the first device.

Abstract: A device may receive explicit congestion notification data associated with user devices connected to a network of network devices, and may receive network data identifying network metrics associated with the network devices. The device may generate an active queue management mapping table based on utilizing a model to process the explicit congestion notification data and the network data. The device may determine, based on the active queue management mapping table and the network data, a routing table that includes routing data identifying traffic paths with active queue management enabled network devices and without non-active queue management enabled network devices of the network devices. The device may provide the routing table to the network devices.

Abstract: Systems and methods provide decentralized MEC compute services. A network device receives, from a user device associated with a user account, an access request for Multi-access Edge Computing (MEC) services. The user account includes a MEC service token that indicates parameters for the MEC services. The network device validates a user of the user device to access MEC services for the user device; removes, after the validating, the MEC service token from the first user account; and grants, based on the removing, access to a MEC cluster by the user device, wherein granting access includes granting access according to the parameters.

Abstract: A device may receive a reference signal identifying a radio signal provided to a radio unit associated with a user equipment located substantially near an earth station and identifying a user equipment signal generated by the user equipment. The device may receive an earth station target signal generated by the earth station and a parasitic signal. The device may generate a noise cancellation signal based on the reference signal, the earth station target signal, and the parasitic signal. The device may cause the noise cancellation signal to be applied by the earth station to eliminate the parasitic signal.

Abstract: A method may include obtaining connection-related data associated with user equipment (UE) devices operating in a network, wherein the UE devices include unmanned aerial vehicles (UAVs) and devices other than UAVs. The method may include storing the connection-related data; identifying, in the stored connection-related data, data associated with known UAVs and filtering the stored connection-related data based on a distance associated with a known UAV. The method may further include training a machine learning classifier using the filtered data and executing the machine learning classifier to identity UAVs operating in the network.

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 system described herein may receive traffic throughput metrics and energy consumption metrics associated with one or more elements of a wireless network, and compute granular (e.g., per-network slice, per-network element, per-protocol, per-layer, etc.) measures of energy efficiency associated with the one or more one or more elements. The system may determine network parameter modifications based on the granular measures of energy efficiency, and/or provide such measures of energy efficiency to the one or more network elements, which may grant access to UEs 109 based on the granular measures of energy efficiency. The one or more network elements may make network parameter modifications based on the granular measures of energy efficiency, such as activating “sleep” or “suspend” modes, and/or otherwise performing energy saving techniques.

Abstract: A network device may receive multi-access edge computing (MEC) proximity service information that identifies a set of MEC devices and a set of network services supported by respective MEC devices of the set of MEC devices. The network device may transmit, to a base station, at least a portion of the MEC proximity service information for broadcasting by the base station. The network device may receive, from a user device, a request to establish a peer-to-peer connection with a MEC device for the network service. The network device may authenticate the user device for access to the network service. The network device may transmit, to the user device and the MEC device, connection information that enables the user device and the MEC device to establish the peer-to-peer connection, based on authenticating the user device for access to the network service.

Abstract: A method for generating, at a mobile device, a first flow control sequence for demodulating a first wireless channel transmitted by a base station; transitioning, by the user equipment device (UE), to a first power consumption state; monitoring, by the UE while in the first power consumption state, the first wireless channel for a second flow control sequence; detecting, at the UE, that the first flow control sequence matches the second flow control sequence; transitioning, by the UE from the first power consumption state to a second power consumption state, upon detecting that the first flow control sequence matches the second flow control sequence; and receiving, at the UE, a data flow from the base station via a second wireless channel.

Abstract: A user equipment (UE) device may determine its location with a high degree of precision, beyond the capability of other current methodologies. Specifically, a UE device may obtain High Precision (HIP) coordinates of its location based on Random Access Channel (RACH) messages that the UE device exchanges with multiple wireless stations. Using RACH messages to obtain HIP coordinates imposes little communication overhead or computational burden on the UE device and the network.

Abstract: A device may receive a wireless communication that is provided to a wireless network by a user equipment. The device may identify a value of a parameter of the wireless communication. The device may obtain an expected value of the parameter. The device may compare the value and the expected value. The device may determine, based on comparing the value and the expected value, that the wireless communication was relayed by a wireless communication repeater. The device may determine that the wireless communication repeater is unauthorized to relay the wireless communication. The device may perform an action associated with the wireless communication repeater relaying the wireless communication and based on the wireless communication repeater being unauthorized to relay the wireless communication.

Abstract: Embodiments described herein provide for a hybrid network device to serve as a zero- or low-latency relay for communications between a wireless network, such as a licensed wireless network, and one or more other devices. The hybrid network device may establish a connection with a base station of a wireless network via a licensed radio access technology (“RAT”). The hybrid network device may communicate with one or more devices via an unlicensed RAT. The hybrid network device of some embodiments may aggregate communications from devices and may serve as a single connection endpoint with respect to the base station, such that the base station need not maintain a relatively large number of connections to accommodate a relatively large quantity devices.

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 receive traffic throughput metrics and energy consumption metrics associated with one or more elements of a wireless network, and compute granular (e.g., per-network slice, per-network element, per-protocol, per-layer, etc.) measures of energy efficiency associated with the one or more one or more elements. The system may determine network parameter modifications based on the granular measures of energy efficiency, and/or provide such measures of energy efficiency to the one or more network elements, which may grant access to UEs 109 based on the granular measures of energy efficiency. The one or more network elements may make network parameter modifications based on the granular measures of energy efficiency, such as activating “sleep” or “suspend” modes, and/or otherwise performing energy saving techniques.

Abstract: A charging function device may include a processor configured to obtain subscription information associated with a user equipment (UE) device in a wireless communication network. The processor may be further configured to receive, from a gateway device, data flow information relating to data flows associated with the UE device; receive, from a policy device, policy information relating to policies applied to the data flows associated with the UE device; generate a record for the UE device based on the received data flow information and the received policy information, wherein the record identifies at least one account charge based on a particular data flow associated with the UE device; and provide the generated charging record to an account system.

Abstract: A user equipment (UE) device may include a memory and one or more processors. The one or more processors operate to determine one or more of a signal strength or signal quality for each of a plurality of networks available for connection via the communication interface and the antenna assembly. Virtual user equipment (VUE) for two or more of the identified plurality of networks are allocated and the UE device connects to the two or more networks using the respective VUEs.

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.