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 fixed wireless access device (FWA) comprises a mobile terminal, a Wi-Fi® device; and a processor. The processor is configured to: determine a next active period, for the mobile terminal, within a Discontinuous Reception (DRX) cycle of the mobile terminal; and synchronize an interval of time, for transmission or reception of data at the Wi-Fi® device, to the next active period.

Abstract: A power and environmental orchestration (P&EO) system uses network utilization condition information to implement scenarios that partially or fully reduce power requirements for radio access network (RAN) elements. A network device obtains power orchestration scenarios for a RAN and evaluates utilization data of multiple components of the RAN against the power orchestration scenarios. The network device determines that the utilization data meets a threshold for one of the power orchestration scenarios and applies the one of the power orchestration scenarios to reconfigure the RAN for reduced power consumption.

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 channel data associated with a channel provided between a network and a user device, and may calculate, based on the channel data, key performance indicator data that includes a plurality of key performance indicators for the channel. The device may multiply the plurality of key performance indicators by factors to generate factored key performance indicator data that includes a plurality of factored key performance indicators. The device may apply weights to the plurality of factored key performance indicators of the factored key performance indicator data to generate factored weighted key performance indicator data that includes a plurality of factored weighted key performance indicators. The device may calculate a quality indicator for the channel based on the factored weighted key performance indicator data, and may perform one or more actions based on the quality indicator for the channel.

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 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: A system described herein may provide a technique for the rate-controlled forwarding of traffic to a base station of a radio access network (“RAN”). The rate of the forwarding of the traffic may be based on a latency sensitivity of the traffic, metrics associated with the base station, and an ingress capacity of the base station. The metrics associated with the base station may include congestion and/or load metrics, radio frequency (“RF”) metrics, or other suitable metrics. The latency sensitivity of the traffic may be determined based on a source and/or destination of the traffic, a network slice associated with the traffic, or other suitable traffic attributes. After receiving the rate-controlled traffic, the base station may perform scheduling and/or queueing of the traffic in order to wirelessly provide the traffic to one or more User Equipment (“UEs”).

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: In the various embodiments, a radio communication system implementing an Switched Antenna Array (SAA) is provided that minimizes the number of radio chains required for a given number of antennas by implementing a radio frequency (RF) switch that connects the radio chains to the antennas. In some embodiments, the RF switch can activate a subset of antennas in the antenna array to generate an appropriate beam pattern for communications with another device. In some embodiments, a method is provided to determine a configuration matrix corresponding to a beam pattern with a desired signal conformity level.

Abstract: In the various embodiments, a radio communication system implementing an Switched Antenna Array (SAA) is provided that minimizes the number of radio chains required for a given number of antennas by implementing a radio frequency (RF) switch that connects the radio chains to the antennas. In some embodiments, the RF switch can activate a subset of antennas in the antenna array to generate an appropriate beam pattern for communications with another device. In some embodiments, a method is provided to determine a configuration matrix corresponding to a beam pattern with a desired signal conformity level.

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 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, a device, and a non-transitory computer-readable storage medium are described in which an predictive discontinuous reception (DRX) bypass service is provided. The bypass service may provide flow control signaling that enables an uplink grant to be transmitted to an end device regardless of the DRX mode. The bypass service may provide for an immediate grant for uplink data and may improve latency. The bypass service may also provide flow control signaling for downlink data that may cause the end device to wake up from a DRX mode and receive downlink data. The bypass service also provides predictive scheduling that allows an external network, such as a multi-access edge computing network to establish a DRX-free downlink connection before completion of data processing. The flow control signaling may include a quality of service flow identifier value that correlates to the bypass service.

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 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.