Abstract: A network device obtains a Physical Layer Cell Identifier (PCI) pool for allocating to ad-hoc mobile Integrated Access and Backhaul (IAB) nodes traversing a wireless network. The network device selects a first PCI for allocation to a first ad-hoc mobile IAB node located in the wireless network based on PCIs contained in the PCI pool, and allocates the first PCI to the first ad-hoc mobile IAB node. The network device pushes the allocated first PCI to the first ad-hoc mobile IAB node for use by the first ad-hoc mobile IAB node to establish User Equipment (UE) wireless access to the wireless network via wireless backhaul.

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 method, a device, and a non-transitory storage medium are described in which an integrated access and backhaul service is provided. The integrated access and backhaul service may include an admission control service that manages admission control based on access and backhaul capacities of an integrated access and backhaul network such that access and backhaul capacities at any integrated access and backhaul device are not exceeded. The integrated access and backhaul service may include a capacity allocation service. The capacity allocation service may provision scheduling and resource allocation to support a performance metric and/or other criteria at an integrated access and backhaul device based on access and backhaul demands and capacities.

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: Systems and methods described herein provide extended reality (XR)-aware scheduling in a radio access network (RAN). A RAN device receives downlink (DL) metadata for downlink packets in an extended reality (XR) session and uplink (UL) metadata for uplink packets in the XR session. The RAN device selects a scheduling discipline for the XR session, based on the DL metadata and the UL metadata, and implements the selected scheduling discipline for the XR session.

Abstract: Systems and methods described herein provide intelligent scheduling in a radio access network (RAN). A RAN device receives traffic characterization model parameters and also receives data for a communication session with a User Equipment (UE) device. The RAN device identifies traffic characteristics for the communication session based on the traffic characterization model parameters. The traffic characteristics include a predicted level of periodicity for a future time interval. The RAN device selects a scheduling discipline for the communication session based on the projected level of periodicity for the future time interval, and implements the selected scheduling discipline for the communication session.

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.

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 network device may instantiate a first process in a first Multi-Access Edge Computing (MEC) cluster within a first MEC network; register the first MEC network at a MEC cloud; receive a call from the first process to obtain information from a second process in a second MEC cluster within a second MEC network that is registered at the MEC cloud; create a first message based on the call; send the first message from the first MEC cluster to the second MEC cluster; receive, at the first MEC cluster, a second message from the second MEC cluster, wherein the second message is provided by the second MEC cluster in response to receiving the first message; and extract a return value from the second message, wherein the return value is generated by the second process in response to receipt of the call in the second MEC cluster.

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.

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 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: 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: A method, a device, and a non-transitory storage medium are described in which an scheduling service is provided. The scheduling service includes calculation of a priority value, on a per end device basis, based on throughput information and tuning parameter values. The priority value may also be calculated based on a radio access network slice weight. The scheduling service may calculate a schedule for transmission of data to an end device based on the priority value, available network resources, and a quality of service profile associated with a quality of service flow of the end device.

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 computer device may include a memory storing instructions and processor configured to execute the instructions to generate a Radio Access Network (RAN) slice in a Fifth Generation (5G) New Radio (NR) base station designated for a particular type of service; determine requirements associated with the generated RAN slice; and reserve resources of the 5G NR base station for the generated RAN slice, wherein reserving the resources includes specifying one or more antenna beams generated by the 5G NR base station. The processor may be further configured to obtain criteria for categorizing user equipment (UE) device sessions as belonging to the generated RAN slice; identify UE device sessions as belonging to the RAN slice based on the obtained criteria; and apply the determined requirements to the identified UE device session using the reserved resources.

Abstract: A system described herein may provide a technique for the handover of a User Equipment (“UE”) from a first Distributed Unit (“DU”) of a wireless network to a second DU in a manner that minimizes or interruption of the delivery of traffic to the UE. When the UE is attached to a first DU, one or more second DUs may be identified as candidates for attachment to the UE. The one or more second DUs may be pre-loaded with context information and/or traffic for the UE. In some embodiments, a third mesh DU (“MDU”) may be identified as a candidate for attachment to a first MDU that is attached to a second MDU. The third MDU may be pre-loaded with context information and/or traffic for the first MDU.

Abstract: A device may receive device data identifying Internet of Things (IoT) devices and may receive network data identifying network traffic patterns associated with the IoT devices. The device may process the device data and the network data, with a machine learning model, to determine parameters for charging each of the IoT devices and may determine that a particular IoT device of the IoT devices requires charging based on particular parameters associated with the particular IoT device. The device may receive location data identifying a location of the particular IoT device and may cause, based on the location data, one or more chargers to wirelessly provide a radio frequency power beam to the particular IoT device based on the particular parameters.

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.