T-mobile Usa, Inc.

Other

Boua Lor

Ming Shan Kwok

Wafik Abdel Shahid

Yasmin Karimli

Jie Hui

Senthil Kumar Mulluppadi Velusamy

Timothy Shelton

Christopher Lihosit

Alex Thanh Nguyen

Jonathan Regalado

Brandon Shurick

ChihChin Wu

Jaunani Sriramachandran

The disclosed technology can repurpose a corrective action targeted for an original network device as a preemptive action for other network devices that are adjacent to the original network device. The other network devices are adjacent based on a shared service plan, a common geographic region, or another common criterion. In one example, the system receives an indication of an anomaly (e.g., pattern of activity) causing disruption to a service subscribed to by the user device on a network. The system selects a corrective action that is performed to remediate the disruption. In response to determining that the corrective action remediated the disruption, the system can progressively search adjacent devices for the same pattern of activity and perform the corrective action as a preemptive action for those adjacent devices.

Repurposing corrective actions as preemptive actions for adjacent clusters of user devices

Providing access to Fifth Generation (5G) wireless communication services via an Application Programming Interface (API) is described. In an example, a request for 5G wireless communication services associated with a 5G wireless communication service provider can be received via the API. The 5G wireless communication service provider can determine that it can accommodate the request and can cause a notification to be presented via the application, wherein the notification includes an indication that the 5G wireless communication services are available. Based at least in part on receiving an indication of an input associated with the notification, the 5G wireless communication services can provide 5G wireless communication services to a user device via the API.

Network application programming interface (API) exposure

Techniques are described herein for applying a selective automated response to a distress call received at an emergency services system. The techniques include receiving a distress call from a user device in response to an emergency event. The distress call may be parsed to identify a location, an urgency index, and a nature of the emergency event. The distress call may be routed to an available dispatcher at a dispatcher terminal. Based at least on the location, the urgency index, and the nature of the emergency event, a response procedure to resolve the distress call may be identified. The dispatcher may communicate with a dispatched first responder at the location via a communication channel established between the dispatcher terminal and a mobile first responder terminal. The response procedure may be transmitted to the mobile first responder terminal.

Applying machine intelligence for location-based services to dispatch first responders

A method for diagnosing and improving mobile device connectivity in a network includes executing an instruction set stored on a read-only memory (ROM) of a mobile device to perform a first device performance evaluation associated with services on the mobile device that include a short message service (SMS), a multimedia messaging service (MMS), a voice calling service, and a mobile data service. The device identifies a hardware performance deficiency based at least in part on the first device performance evaluation, and issues at least one command to alter a device component setting on the device. The command is configured to alter a setting associated with the hardware performance deficiency. The device performs a second device performance evaluation, and determines whether the hardware performance deficiency is abated. The device generates a message to a network server indicative of a connectivity failure when the hardware performance deficiency is not abated.

Mobile device network performance restoration and improvement

The techniques described herein build a device and/or update a configuration of the device so that the device is tailored for a particular use or a particular user. That is, the techniques may receive device configuration update information and generate instructions to send to the device so that the device can execute the configuration update.

Device management service

System and method of intelligent application diagnostics of a user device (UD). Upon every first time period, the key performance indicators (KPI's) of the processes running on the UD are determined. The top predetermined number (N) of processes that are using the most computing resources are filtered and their KPI's are stored in a local memory. The KPI's of the remaining processes are discarded. This process is repeated at every first time period. At every second time period, the filtered KPI's of every iteration of the first time period are retrieved from the local memory and sent to a remote monitoring server for analysis and storage. The filtered metrics are removed from the local memory.

Growing community of inventors

Renton, WA, United States of America

Boua Lor