At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Michael A Salmon

Sheldon Kent Meredith

Mark D Austin

Joseph Patrick Dennisson

Michael Bates

Stephen Kelly

Lawrence Ryan

Oliver Spatscheck

Kurt Donald Huber

Alexandre Gerber

Rick Tipton

Jeffrey Pang

Shobha Venkataraman

Dinesh Chachidhanandam

Karen Schoonover

Karen Barnes

A subscriber device reports network operation conditions, such as network performance incidents, to receive feedback from the network related to the incident and available or possibly available solutions, and to produce network intelligence suitable for network planning and network performance enhancement. Reporting of network performance incidents can be characterized by location and time of occurrence, wherein this intelligence is provided by the user device. Feedback provided by the network is based on the network performance data received as part of reporting an incident. The reporting described herein enables a network operator to generate network planning intelligence based on actual network performance as experienced at the subscriber level.

Device-driven intelligence and feedback for performance optimization and planning of a service network

Devices, systems, and methods are disclosed to offload the usage of a cellular network by intelligent selection of broadband network connections such as Wi-Fi access points. A Wi-Fi transceiver on a mobile device is activated when certain conditions are met, such as a time, location, recognition of a radiofrequency (RF) environment, etc. The conditions are correlated with a database of known locations in which a one or more Wi-Fi access points are determined to exist. The Wi-Fi transceiver on the mobile device is activated and commanded to connect to a particular Wi-Fi access point. Dynamic intelligence ensures that the appropriate connection method is used, and minimizes handovers to networks or access points that are unreliable or that are predicted to become inaccessible to the mobile device.

Wi-Fi intelligent selection engine

A system for passive estimation of throughput in an electronic network is disclosed. The system may include an plurality of mobile devices configured to operate in the network and may further include an electronic data processor. The processor may be configured to access flow records for data flows associated with the mobile devices during a predetermined time interval. Additionally, the processor may be configured to annotate the flow records with an application field and a content provider field. The processor may also be configured to determine a flow type of each data flow based on the application field and the content provider field of the flow records. Furthermore, the processor may be configured to generate a throughput index that only includes non-rate-limited flow types. Moreover, the processor may be configured to estimate maximum throughput for each data flow having non-rate-limited flow types in the throughput index.

System for estimating download speed from passive measurements

System(s), device(s), method(s), and user interfaces are provided to enable a subscriber device to report network operation conditions, such as network performance incidents, to receive feedback from the network related to the incident and available or possibly available solutions, and to produce network intelligence suitable for network planning and network performance enhancement. Reporting of network performance incidents can be characterized by location and time of occurrence, wherein these intelligence is provided by the user device. Feedback provided by the network is based on the network performance data received as part of reporting an incident. The reporting described herein enables a network operator to generate network planning intelligence based on actual network performance as experienced at the subscriber level.

Growing community of inventors

Loganville, GA, United States of America

Michael A Salmon