최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0776493 (2013-02-25) |
등록번호 | US-8775631 (2014-07-08) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 8 인용 특허 : 640 |
System and method of dynamic bandwidth adjustment for browsing or streaming activity in a wireless network based on prediction of user behavior when interacting with mobile applications are disclosed. One embodiment includes mobile device which throttles radio use based on user habit. The mobile dev
System and method of dynamic bandwidth adjustment for browsing or streaming activity in a wireless network based on prediction of user behavior when interacting with mobile applications are disclosed. One embodiment includes mobile device which throttles radio use based on user habit. The mobile device is able 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 relating to, for example, browsing activity or content streaming activity, where, the radio can be throttled among three power states when connected to a 3G wireless network or throttled among two power states when connected to a 4G or LTE network/pre-LTE.
1. A method of user behavior based resource allocation in a wireless network, the method, comprising: tracking user behavior with respect to mobile usage relating to browsing activity or content streaming activity, for a user;controlling the resource allocated to the user in the wireless network bas
1. A method of user behavior based resource allocation in a wireless network, the method, comprising: tracking user behavior with respect to mobile usage relating to browsing activity or content streaming activity, 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 relating to browsing activity or content streaming activity via dynamic bandwidth adjustment;wherein the resource allocated to the user is controlled by throttling radio power states of a mobile device with the user uses based on the user behavior with respect to mobile usage session relating to browsing activity or content streaming activity that is tracked,wherein the radio is throttled to a high or higher power state when based on the user behavior, the user is predicted to have a need for bandwidth; andwherein the radio is throttled to a low power state when based on the user behavior, the user is predicted to have a lack of or reduced need for bandwidth. 2. The method of claim 1, wherein, tracking the user behavior with respect to mobile usage relating to browsing activity includes tracking user behavior with respect to different browsers. 3. The method of claim 1, wherein, tracking the user behavior with respect to mobile usage relating to browsing activity includes tracking user behavior with respect to different websites. 4. The method of claim 1, wherein, tracking the user behavior with respect to mobile usage relating to browsing activity includes tracking user behavior with respect to site topic based on inferred or explicitly specified user interest. 5. The method of claim 1, wherein, tracking the user behavior with respect to mobile usage relating to streaming activity includes tracking user behavior with respect to different streaming mobile applications. 6. The method of claim 1, wherein, tracking the user behavior with respect to mobile usage relating to streaming activity includes tracking user behavior with respect to different streaming sites. 7. The method of claim 1, wherein, tracking the user behavior with respect to mobile usage relating to streaming activity includes tracking user behavior with respect to different streamed content type. 8. The method of claim 7, wherein, tracking the user behavior with respect to mobile usage relating to streaming activity includes tracking user behavior with respect to streamed content topic based on inferred or explicitly specified user interest. 9. The method of claim 1, wherein, tracking the user behavior with respect to mobile usage relating to streaming activity includes tracking user behavior with respect to an event being streamed. 10. 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; 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. 11. The method of claim 1, wherein, a user behavior profile for the user is used for resource allocation in the wireless network across multiple devices used by the user; wherein, the resource allocated to the user is controlled by allocated bandwidth in the wireless network. 12. The method of claim 1, wherein, the need for bandwidth is determined from the user behavior indicating one or more of, frequent access to mobile applications or frequent or lengthy consumption of streaming content. 13. 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; or wherein, the user behavior is tracked or analyzed on a device by device basis for the user. 14. 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. 15. The method of claim 14, wherein, the proxy server is a component of a network operator of the wireless network. 16. 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 relating to content streaming activity for a user;aggregating or computing statistical data related to the content consumption in the sessions of the mobile usage relating to content streaming activity;wherein the statistical data includes frequency of the content consumption and timing parameters related to the content consumption;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 relating to content streaming activity;wherein, the sessions of mobile usage for the user are tracked across multiple mobile devices. 17. The method of claim 16, 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. 18. The method of claim 16, wherein, the statistical data includes, amount of the content consumption. 19. 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 low power states based on the user habit of a user using the mobile device in mobile usage sessions relating to browsing activity or content streaming activity, wherein the radio is throttled to a high or higher power state when based on the user habit, the user is predicted to have a need for bandwidth; andwherein the radio is throttled to a low power state when based on the user habit, the user is predicted to have a lack of a need for bandwidth. 20. The mobile device of claim 19, 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; wherein, the mobile usage sessions are tracked for the user across multiple other devices by a proxy server coupled the mobile device. 21. The mobile device of claim 19, wherein, the user habit with respect to mobile usage relating to browsing activity includes user behavior with respect to different browsers, or user behavior with respect to different websites. 22. 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 relating to browsing activity or content streaming activity 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 relating to browsing activity or content streaming activity;wherein, the statistical data includes frequency of the content consumption, amount of the content consumption, and timing parameters related to the content consumption. 23. The system of claim 22, 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. 24. The system of claim 22, wherein, the content consumption of the mobile usage relating to browsing activity includes content consumption with respect to site topic based on inferred or explicitly specified user interest. 25. The system of claim 22, wherein, the content consumption of the mobile usage relating to streaming activity includes content consumption with respect to different streaming sites. 26. The system of claim 22, wherein, the content consumption of the mobile usage relating to streaming activity includes content consumption with respect to different streamed content type or with respect to an event being streamed. 27. The system of claim 22, 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. 28. The system of claim 22, wherein, the proxy server is a component of a network operator of the wireless network. 29. The system of claim 22, 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.
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