Abstract: Systems and methods are provided for selecting and dynamically adjusting beamforming techniques offered to and applied to one or more devices based on a type of the device. Specifically, a device that is determined to be stationary can utilize a different beamforming technique than a device that is determined to be mobile (i.e., not stationary). Based on the determinations of whether a device is stationary or mobile, a specific beamforming technique can be offered to that device. Further, devices that are located in a same location in the service area (e.g., both devices are located at cell edge, both are near cell, etc.) can utilize different beamforming techniques such that multiple beamforming techniques are employed in the same location.

Abstract: The disclosed technology relates to methods and systems of routing user equipment (UE) traffic in a telecommunication network. Dual connectivity (DC) capability associated with multiple UEs is determined. The multiple UEs are divided into one or more traffic groups according to the DC capability. The one or more traffic groups are routed to corresponding master nodes of the telecommunication network for communication, thereby enabling the one or more traffic groups to establish DC with corresponding secondary nodes.

Abstract: The system receives activity data generated from a wireless device connected to a base station of a telecommunication network. The activity data includes an account status of a subscriber, subscriber traffic type, or service type. The account status of the subscriber is classified as a premium subscriber or a standard subscriber. The system causes the activity data to be inputted into a machine learning (ML) model. The system receives, as an output from the ML model, a beamforming plan for the base station. The beamforming plan includes a direction to transmit a beam, a time period to transmit the beam, and at least one network slice on which to transmit the beam. The system generates the beam on the at least one network slice in accordance with the beamforming plan.

Abstract: At a high level, the technology disclosed herein relates to dynamic Radio Resource Partitioning (RRP). In embodiments, radio frequency (RF) coverage data for one or more Fixed Wireless Access (FWA) devices (or other devices) may be received. The RF coverage data may correspond to one or more of reported channel state information feedback (e.g., Channel Quality Indicator (CQI)) from Enhanced Mobile Broadband (eMBB) user devices, particular identifiers (e.g., Service Profile Identifier (SPID)), slicing data, etc., or one or more combinations thereof. A threshold for the FWA device may be determined based on historical eMBB resource data for a particular access point. If particular RF coverage data is below the threshold, the FWA device may be blocked from RRP. If the RF coverage data is above the threshold, the FWA device may be included for RRP.

Abstract: A method for dynamically utilizing frequency range 1 (FR1) and frequency range 2 (FR2) uplink carriers is provided. The method includes determining, based on a group identifier of a user equipment (UE), the UE is compatible with each of new radio dual connectivity (NR-DC) and new radio carrier aggregation (NR-CA). The UE is a part of a group of UEs compatible with each of NR-DC and NR-CA. The method includes predicting, based on real time and historical data, a performance of the UE will be improved when utilizing NR-DC for uplink. The method includes instructing, based on the predicting, the UE to utilize NR-DC for uplink.

Abstract: Systems, methods and devices are provided for L4S aware network coordination and congestion management. The method includes receiving, by a wireless network communicatively connected to an L4S capable access node and a non-L4S capable access node, a congestion signal from an L4S capable wireless device. In response to receiving the congestion signal from the L4S capable wireless device, the method adjusts, by the wireless network, network configurations for a non-L4S capable access node.

Abstract: A method for dynamically offloading UEs from frequency range 2 (FR2) carriers is provided. The method includes determining, by a network node, a first UE is not compatible with new radio dual connectivity (NR-DC) and is utilizing a frequency range 2 (FR2) carrier. The method includes determining a second UE is compatible with NR-DC. The method includes predicting, based on real time and historical data, at a first time, a performance of the second UE will be improved using NR-DC if the first UE is offloaded to a frequency range 1 (FR1) carrier. The FR1 carrier is not utilized during NR-DC by the second UE. The method includes instructing, based on the predicting, the first UE to offload the FR2 carrier and instructing the first UE to utilize the FR1 carrier.

Abstract: Systems and methods are provided for controlling network congestion caused by malicious attacks. A system comprising a processor is configured by machine-readable instructions to monitor low latency, low loss, scalable throughput (L4S) packets in a wireless network to detect network congestion. The system is further configured to determine the L4S packets satisfy a threshold for L4S packet traffic, and responsive to the L4S packets satisfying the threshold, to identify the L4S packets as malicious traffic. Moreover, the system is configured to adjust the wireless network to prioritize non-malicious traffic in the wireless network.

Abstract: Methods are provided for receiving a radiofrequency parameter corresponding to a wireless aerial device at an access node, determining that the radiofrequency parameter satisfies a threshold, and adjusting a tilt angle of at least one antenna of a radio access network (RAN) in response to determining that the radiofrequency parameter satisfies a threshold.

Abstract: A method for dynamically utilizing one or more frequency division duplex (FDD) and time division duplex (TDD) carriers for uplink are provided. The method includes determining, based on a first performance of a user equipment (UE) falling below a pre-determined threshold, whether to instruct the UE to utilize a different uplink configuration. The method includes instructing, based on the determining, the UE to utilize a first uplink configuration comprising utilizing TDD carrier for a first layer and utilizing a FDD carrier for a second layer. The method includes determining, based on a second performance of the UE, to instruct the UE to cease utilizing the first uplink configuration. The method includes instructing the UE to utilize a second uplink configuration comprising utilizing one or more TDD carriers for the first layer and the second layer.

Abstract: Systems, methods and devices are provided for network congestion management. The method includes receiving, by a wireless network communicatively connected to a non-L4S capable wireless device, a congestion signal from a L4S capable wireless device and, in response to receiving a congestion signal from the L4S capable wireless device, adjusting, by the wireless network, session configurations for the non-L4S capable wireless device.

Abstract: Aspects herein provide systems, methods, and media for dynamically switching between multiple input multiple output algorithms to improve spectral efficiency and capacity. In aspects, based on data encoding traffic, user device mobility, and coverage, a base station automatically and intelligently selects and implements a particular downlink operating schema. Using various periodicity, the base station dynamically switches between various downlink operating schemas to reflect changing conditions in the date that encodes traffic, user device mobility, and coverage.

Abstract: Systems, methods and devices are provided for battery management. The method includes receiving, by a wireless network communicatively connected to a wireless device using a network slice, a battery status for the wireless device, in response to receiving the battery status, determining, by the wireless network, a slice configuration for the network slice for the wireless device based on the battery status and adjusting session configurations for the network slice for the wireless device utilizing the slice configuration.

Abstract: Techniques are described herein for allocating bandwidth parts to user devices to enable a range of the user devices to be boosted when they are further away from a base station. In embodiments, such techniques may comprise receiving information about at least one user device operating on a network and determining, based on that information, a signal strength of the at least one user device within a cell. The techniques further comprise determining an allocation of bandwidth parts to be applied to a cell, and determining, based on the signal strength of the user device and the allocation of bandwidth parts, an assigned bandwidth part for the at least one user device. Once such a bandwidth assignment has been determined, the techniques further involve providing the assigned bandwidth part to be used by the at least one user device.

Abstract: Systems and methods are provided for controlling network congestion. A processor of UE is configured by machine-readable instructions to communicate data packets between the UE and a wireless network that further communicates with an additional UE. The UE is low latency, low loss, scalable throughput (L4S) enabled and the additional UE is not L4S enabled. The UE that is L4S enabled receives a first notification of wireless network congestion for the wireless network and sends a second notification to the additional UE of the wireless network congestion by the UE. The second notification causes the additional UE that is not L4S enabled to mitigate the wireless network congestion.

Abstract: The disclosed technology manages temperature-induced signal degradation in terrestrial wireless telecommunications networks. The technology involves monitoring the temperature of an active radio antenna at a base station. The technology determines a triggering temperature that causes signal degradation and determines an available passive radio antenna to offload the user data within the same base station. Upon detecting the triggering temperature, user data is offloaded to the passive radio antenna. Communication is restored to the active radio antenna once normal temperature conditions along with quality signal are restored. The technology can dynamically distribute the offloading of user data by using artificial intelligence (AI)/machine learning (ML) algorithms to offload user data to the available passive radio that can maintain signal quality for the users.

Abstract: The system receives activity data generated from a wireless device connected to a base station of a telecommunication network. The activity data includes an account status of a subscriber, subscriber traffic type, or service type. The account status of the subscriber is classified as a premium subscriber or a standard subscriber. The system causes the activity data to be inputted into a machine learning (ML) model. The system receives, as an output from the ML model, a beamforming plan for the base station. The beamforming plan includes a direction to transmit a beam, a time period to transmit the beam, and at least one network slice on which to transmit the beam. The system generates the beam on the at least one network slice in accordance with the beamforming plan.

Abstract: Aspects herein provide systems, methods, and media for dynamically scheduling multiplexing in a wireless network. In aspects, a base station determines whether to utilize multiplexing without power boosting or to utilize power boosting without multiplexing when scheduling and communicating a reference signal over a downlink channel for a user device. These autonomous determinations of the base station are based on an evaluation of signal metrics of a user device and/or base station characteristics relative to one or more customized thresholds.

Abstract: Systems, methods, and software are disclosed herein for anomaly detection in a wireless communication network based on congestion notification in various implementations. In one example, a computing apparatus processes network telemetry data and congestion data using a machine learning model trained to detect anomalous behavior on wireless communication network. In response to detecting the anomalous behavior, the computing apparatus identifies a source of the anomalous behavior on the network and initiates an action with respect to a network function associated with the source of the anomalous behavior to mitigate one or more effects of the anomalous behavior.

Abstract: Systems, methods, and software are disclosed herein for allocating radio resources of an access node of a wireless communication network based on congestion notification in various implementations. In one example, a computing apparatus processes congestion notification data to detect a level of congestion in data traffic carried of a network slice by an access node of a wireless communication network. The computing apparatus determines that the level of congestion exceeds a threshold value for reallocating radio resources of the access node and reallocates the radio resources of the access node to provide additional carrying capacity for the data traffic of the network slice based on determining that the level of congestion exceeds the threshold value.