H04M15/8027

SIMULATING CONTINUOUS MILLIMETER WAVE BAND ACCESS TO A TELECOMMUNICATIONS NETWORK
20210400571 · 2021-12-23 ·

The disclosed technology includes at least one method performed by a system of a telecommunications network. The system can establish a communications link between the wireless device and a network access node (NAN) of the 5G network. While connected over a non-mmW band, the wireless device autonomously schedules data downloads to occur when the wireless device is on an mmW band. The system then receives a request from the wireless device to perform the data downloads, which can be enabled by a packet gateway (PGW) upon receiving a confirmation by the NAN that the wireless device can connect over the mmW band. Otherwise, the PGW denies the wireless device's request to perform the data downloads, which can be enforced by the NAN.

Dynamic usage of storage and processing unit allocation

Systems and methods are provided for managing dynamically allocated storage and processing units. The systems and methods include operations for determining, a usage pattern having a peak usage portion and a low usage portion; reserving a first collection of units on a dynamic unit allocation system during the peak usage portion; detecting a transition from the peak usage portion to the low usage portion; in response to detecting the transition, instructing the dynamic unit allocation system to reduce the first collection of units to reserve a second collection of units corresponding to a second amount of the low usage portion; selecting asynchronous tasks that consume a set of units greater than the second collection of units; and during a period of time that the dynamic unit allocation system is reducing the first collection of units, causing the asynchronous tasks to be executed by the dynamic allocation system.

Selecting and managing network slices
11350355 · 2022-05-31 · ·

Aspects described herein relate to various methods, systems and apparatuses that can be used to configure and manage a network slice based on billing rate information. By selecting a network slice based on billing rate information, the system may further be able to respond to billing rate changes by reselecting network slices. For example, changes in the usage of the network slice or the usage of the overall network infrastructure may cause a change to a billing rate associated with the network slice. These aspects, and others described herein, may result in improved network performance by, for example, offloading extra usage from an overloaded network slice to a network slice that is currently less used.

Identifying and resolving telecommunication network problems using network experience score

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

Identifying and resolving telecommunication network problems using network experience score

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

System and methods for real-time delivery of specialized telecommunications services

A system, method and computer readable storage medium are disclosed to provide dynamic network resource management in a telecommunications network where at least a portion of the network resources are located at an edge of the telecommunications network. The capacity available, the aggregate demand of resources at a given time, and the cost of the network resource demanded as well as each customers upper price limit may be considered and adjusted in real-time by different network resource allocation models.

COMMUNICATION METHOD AND APPARATUS
20220150139 · 2022-05-12 ·

A communication method includes receiving a data packet and obtaining, according to a correspondence between a service package and a packet detection rule (PDR), a target service package corresponding to a target PDR matching the data packet. The method also includes performing data statistics collection based on the target service package, to obtain a data statistics collection result corresponding to the target service package. The method further includes sending the data statistics collection result corresponding to the target service package to a data analysis device. The method additionally includes receiving a data analysis result corresponding to the target service package. The method also includes performing traffic stimulation or traffic suppression on the target service package based on the data analysis result corresponding to the target service package.

Simulating continuous millimeter wave band access to a telecommunications network
11765652 · 2023-09-19 · ·

The disclosed technology includes at least one method performed by a system of a telecommunications network. The system can establish a communications link between the wireless device and a network access node (NAN) of the 5G network. While connected over a non-mmW band, the wireless device autonomously schedules data downloads to occur when the wireless device is on an mmW band. The system then receives a request from the wireless device to perform the data downloads, which can be enabled by a packet gateway (PGW) upon receiving a confirmation by the NAN that the wireless device can connect over the mmW band. Otherwise, the PGW denies the wireless device's request to perform the data downloads, which can be enforced by the NAN.

System and method for deferred delivery of content based on congestion in a network environment

A method is provided in one example embodiment and may include receiving congestion information for an environment in which a user equipment (UE) is operating; receiving a first request to deliver content to the UE; determining that the environment in which the UE is operating is experiencing congestion based, at least in part, on the congestion information; determining a re-try interval based, at least in part, on the congestion information; and deferring delivery of the content to the UE until the re-try interval has expired. In one example embodiment, the method can include provisioning one or more policy rules for a service data flow associated with the content and communicating the indication indicating that delivery of the content has been deferred to a charging system to set charging information for at least one of a user associated with the UE or a provider of the content.

IDENTIFYING AND RESOLVING TELECOMMUNICATION NETWORK PROBLEMS USING NETWORK EXPERIENCE SCORE

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.