Abstract: Systems and methods are provided for establishing single-layer connections between user equipment (UEs) and a telecommunications network based on the UEs'device types. UEs are classified as either stationary devices or mobile devices based on device information, such as subscriber identity module (SIM) profiles. When a multi-layer connection should not be maintained with a UE, if the UE is classified as a stationary device, the telecommunications network establishes a spatial multiplexing single layer (SMSL) connection with the UE. If the UE is classified as a mobile device, the telecommunications network establishes a single input, single output (SISO) connection with the UE.

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.

Abstract: Systems, methods, and software are disclosed herein for allocating beamforming resources of a base station of a wireless communication network based on congestion notification which includes detecting Explicit Congestion Notification (ECN) data of data traffic of user equipment (UEs) in communication with a base station; determining that the ECN data comprising a congestion notification exceeds a threshold value; and determining an allocation of beamforming resources of the base station among the UEs based on determining that the ECN data comprising a congestion notification exceeding the threshold value.

Abstract: Techniques are described herein for implementing automated installation of software updates on user equipment while minimizing disruptions to predicted data usage. In embodiments, such techniques may comprise upon identifying a software update to be implemented on a user equipment in communication with the network node, determining, based on information about the software update, a time window within which the software update is to be implemented. The techniques may further comprise generating, based on information about the user equipment, a predicted data usage schedule associated with the time window, determining, based on the predicted data usage schedule, a start time for an installation period associated with the software update, and providing instructions to the user equipment to cause the user equipment to install the software update at the start time.

Abstract: Systems and methods are provided for establishing single-layer connections between user equipment (UEs) and a telecommunications network based on the UEs' device types. UEs are classified as either stationary devices or mobile devices based on device information, such as subscriber identity module (SIM) profiles. When a multi-layer connection should not be maintained with a UE, if the UE is classified as a stationary device, the telecommunications network establishes a spatial multiplexing single layer (SMSL) connection with the UE. If the UE is classified as a mobile device, the telecommunications network establishes a single input, single output (SISO) connection with the UE.

Abstract: Aspects herein provide a system and method for intelligently addressing the technological problems created by bursty traffic. In aspects, throughput estimations across various carriers are determined and utilized to perform beneficial handovers of user devices that improve service.

Abstract: A wireless communication device exchanges user data with a wireless network slice. The wireless network slice has Radio Frequency (RF) information that controls slice usage. The wireless communication device determines an RF metric for a wireless communication link. The wireless communication device or the wireless communication network process the RF metric and the RF information to select another network slice. In response to the slice selection, the wireless communication device and the wireless communication network stop the exchange of the user data with the wireless network slice and start to exchange user data with another wireless network slice.

Abstract: A wireless communication device exchanges user data to use a wireless network slice. The wireless network slice has Radio Frequency (RF) information that controls slice usage. The wireless communication device determines an RF metric for a wireless communication link. The wireless communication device or the wireless communication network process the RF metric and the RF information to select another network slice. In response to the slice selection, the wireless communication device and the wireless communication network stop the exchange of the user data to use the wireless network slice and start an exchange user data to use another wireless network slice.

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 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: Systems and methods are provided for establishing single-layer connections between user equipment (UEs) and a telecommunications network based on the UEs' device types. UEs are classified as either stationary devices or mobile devices based on device information, such as subscriber identity module (SIM) profiles. When a multi-layer connection should not be maintained with a UE, if the UE is classified as a stationary device, the telecommunications network establishes a spatial multiplexing single layer (SMSL) connection with the UE. If the UE is classified as a mobile device, the telecommunications network establishes a single input, single output (SISO) connection with the UE.

Abstract: A wireless access point described herein includes an outside part and an inside part attached on opposite sides of a building's window. The outside part transmits to and receives from one or more access points of a telecommunications network over licensed radio frequencies, first unlicensed radio frequencies, or both. The inside part transmits to and receives from one or more devices disposed within the building using second unlicensed radio frequencies, another wireless communication mechanism, or both. Either or both of the outside part or the inside part include translation logic configured to translate between a first protocol representing an inbound communication and a second protocol representing an outbound communication.

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: Aspects herein provide a system and method for intelligently addressing the technological problems created by bursty traffic. In aspects, throughput estimations across various carriers are determined and utilized to perform beneficial handovers of user devices that improve service.

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: 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: 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.