USER AS AN END POINT FOR PROFILING AND OPTIMIZING THE DELIVERY OF CONTENT AND DATA IN A WIRELESS NETWORK

• US 20130203433A1
• Filed: 02/04/2013
• Published: 08/08/2013
• Est. Priority Date: 02/03/2012
• Status: Active Grant

• Current Assignee: Seven Networks LLC (SoftBank Group Corp.)
• Original Assignee: Seven Networks Inc
• Inventors: Luna, Michael, Bott, Ross
• Granted Patent: US 9,326,189 B2
• Time in Patent Office: Days
• US Class Current: 455/452.1
• CPC Class Codes: H04L 41/5025 by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 28/06 Optimizing the usage of the radio link, e.g. header compression, information sizing , discarding information system modifying transmission characteristic according to link quality by modifying frame length H04L1/0007; dynamic adaptation of the packet size for flow control or congestion control H04L47/365
• CPC Class Codes: H04W 72/04 Wireless resource allocation
• CPC Class Codes: H04W 72/51 based on terminal or device properties

Abstract

System and method of using user as an end point for profiling and optimizing delivery of content and/or data in a wireless network are disclosed. One embodiment includes a method of content consumption based resource allocation to a user in a wireless network. The method, which may be implemented on a system includes, tracking content consumption in sessions of mobile usage for a user, aggregating or computing statistical data related to the content consumption in the sessions of the mobile usage, and/or facilitating control of the resource allocated to the user in the wireless network based on the statistical data of the content consumption of the user'"'"'s mobile usage. The sessions of mobile usage for the user can be tracked across multiple mobile devices.

Claims

1. A method of user behavior based resource allocation in a wireless network, the method, comprising:

tracking user behavior with respect to mobile usage for a user;

controlling the resource allocated to the user in the wireless network based on the user behavior with respect to the mobile usage.

2. The method of claim 1, wherein, the resource is allocated to the user for subsequent sessions of mobile usage, regardless of whether the subsequent sessions occur on a same device as when the user behavior was tracked for the user.

3. The method of claim 1, further comprising, recording the user behavior and storing characteristics or patterns of the user behavior in a user behavior profile for the user.

4. The method of claim 3, wherein, the user behavior profile for the user is used for resource allocation in the wireless network across multiple devices used by the user.

5. The method of claim 1, wherein, the resource allocated to the user is controlled by allocated bandwidth in the wireless network.

6. The method of claim 1, wherein, the resource allocated to the user is controlled by throttling radio power states of a mobile device which the user uses.

7. The method of claim 1, further comprising, increasing the resource allocated to the user in the wireless network responsive to detecting a subsequent session of mobile usage corresponding to a need for higher bandwidth or radio power as determined from the user behavior that was tracked.

8. The method of claim 7, wherein, the need for higher bandwidth or radio power is determined from the user behavior indicating one or more of, frequent access mobile applications, frequent or lengthy consumption of streaming content.

9. The method of claim 7, wherein, the need for higher bandwidth or radio power is determined from the user behavior indicating consumption of multimedia content.

10. The method of claim 7, wherein, the need for higher bandwidth or radio power is determined from the user behavior indicating frequent access of mobile clients including one or more of email clients, feeds, or status updates.

11. The method of claim 1, further comprising, decreasing the resource allocated to the user in the wireless network responsive to detecting a subsequent session of mobile usage corresponding to a lack of need for bandwidth or radio power as determined from the user behavior that was tracked or a subsequent session of no predicted mobile usage or little predicted mobile usage as determined form the user behavior that was tracked.

12. The method of claim 1, wherein, the user behavior is tracked or analyzed on an application by application basis by the user.

13. The method of claim 1, wherein, the user behavior is tracked or analyzed based on resource accessed by the user or content type accessed or consumed by the user.

14. The method of claim 1, wherein, the user behavior is tracked or analyzed based on timing characteristics including time or day or day of week.

15. The method of claim 1, wherein, the user behavior is tracked or analyzed on a device by device basis for the user.

16. The method of claim 1, wherein, the controlling of the resource allocated to the user is facilitated by a proxy server remote from a mobile device on which the user behavior is tracked.

17. The method of claim 16, wherein, the proxy server is a component of a network operator of the wireless network or the proxy server is distinct from a component of a network operator of the wireless network and in communication with the network operator to facilitate control of the resource allocated to the user.

18. A method of content consumption based resource allocation to a user in a wireless network, the method, comprising:

tracking content consumption in sessions of mobile usage for a user;

aggregating or computing statistical data related to the content consumption in the sessions of the mobile usage;

facilitating control of the resource allocated to the user in the wireless network based on the statistical data of the content consumption of the user'"'"'s mobile usage;

wherein, the sessions of mobile usage for the user are tracked across multiple mobile devices.

19. The method of claim 18, wherein, the sessions of the mobile usage for the user are tracked across multiple mobile devices by a proxy server remote from the multiple mobile devices, wherein, the proxy server further aggregates and computes the statistical data related to the content consumption of the user.

20. The method of claim 18, wherein, the statistical data includes, one or more of, frequency of the content consumption, amount of the content consumption, and timing parameters related to the content consumption.

21. The method of claim 18, wherein, the statistical data includes content consumption tracked on an application by application basis.

22. The method of claim 18, wherein, the content consumption is tracked by a local proxy on a mobile device on which the sessions of the mobile usage occurs or by a proxy server remote from the mobile device.

23. A mobile device which throttles radio use based on user habit, the mobile device, comprising:

a radio;

a processing unit;

a memory unit having instructions stored thereon which when executed by the processing unit, causes the mobile device to;

throttle the radio between high and lowered power states based on the user habit of a user using the mobile device in mobile usage sessions.

24. The mobile device of claim 23, wherein, the radio is throttled among three power states when connected to a 3G wireless network;

wherein, the radio is throttled among two power states when connected to a 4G or LTE network.

25. The mobile device of claim 23, wherein, the mobile usage sessions are tracked for the user across multiple other devices by a proxy server coupled the mobile device.

26. A system of content consumption based resource allocation to a user in a wireless network, the system, comprising:

a proxy server in the wireless network;

wherein, the proxy server;

aggregates or computes statistical data related to the content consumption in mobile usage sessions of multiple users;

facilitates control of the resource allocated to the multiple users in the wireless network based on the statistical data of the content consumption of the user'"'"'s mobile usage;

wherein, the statistical data includes, one or more of, frequency of the content consumption, amount of the content consumption, and timing parameters related to the content consumption.

27. The system of claim 26, wherein, the content consumption of each of the multiple users is tracked by a local proxy residing on a respective mobile device of each of the multiple users;

wherein, the local proxy is coupled to the proxy server in the wireless network and communicates data relating to the content consumption to the proxy server.

28. The system of claim 26, wherein, the proxy server facilitates increase of the resource allocated to a given user in the wireless network responsive to detecting a subsequent session of mobile usage of the given user which corresponding to a need for higher bandwidth as determined from the statistical data of the content consumption computed for the given user.

29. The system of claim 26, wherein, the proxy server is a component of a network operator of the wireless network.

30. The system of claim 26, wherein, the proxy server is distinct from a component of a network operator of the wireless network and in communication with the network operator to facilitate control of the resource allocated to the user.