Modeling network signaling in a mobile network based on elapsed time

US2017374566A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017374566-A1
Application numberUS-201715699717-A
CountryUS
Kind codeA1
Filing dateSep 8, 2017
Priority dateAug 21, 2014
Publication dateDec 28, 2017
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

The disclosed technology includes systems and methods for optimizing network traffic management in a mobile network. One method includes determining if a mobile application executing on a mobile device is associated with network signaling requiring a corresponding radio connection. At least a portion of the network signaling caused by the transactions is filtered. The filtered network signaling does not cause a corresponding radio connection. A signaling efficiency is calculated that indicates a total number of the radio connections that are saved as a result of the filtering.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method comprising: filtering at least a portion of network signaling associated with mobile applications executing on a mobile device; calculating an amount of time a radio connection is active that is attributable to at least one mobile application; converting the calculated amount of time to estimated battery usage for the at least one mobile application; calculating an expected battery drain rate of the mobile device based on the estimated battery usage of the at least one mobile application; calculating an expected battery life of the mobile device based on the expected battery drain rate and a total battery capacity of the mobile device. 2 . The method of claim 1 , wherein calculating the amount of time a radio connection is active that is attributable to the at least one mobile application is based on timing of data packets sent and received by the mobile application. 3 . The method of claim 1 , wherein calculating the amount of time a radio connection is active that is attributable to the at least one mobile application is based on the amount of time radio connections associated with the mobile application are active. 4 . The method of claim 1 , further comprising displaying, via a user interface, the calculated amount of time. 5 . The method of claim 1 , further comprising displaying, via a user interface, the estimated battery usage for the at least one mobile application. 6 . The method of claim 1 , further comprising displaying, via a user interface, the expected battery life of the mobile device. 7 . A mobile device comprising: a memory and a processor configured for: filtering at least a portion of network signaling associated with mobile applications executing on a mobile device; calculating an amount of time a radio connection is active that is attributable to at least one mobile application; converting the calculated amount of time to estimated battery usage for the at least one mobile application; calculating an expected battery drain rate of the mobile device based on the estimated battery usage of the at least one mobile application; calculating expected battery life of the mobile device based on the expected battery drain rate and a total battery capacity of the mobile device. 8 . The mobile device of claim 7 , wherein the processor is further configured for calculating the amount of time a radio connection is active that is attributable to the at least one mobile application based on the timing of data packets sent and received by the mobile application. 9 . The mobile device of claim 7 , wherein the processor is further configured for calculating the amount of time a radio connection is active that is attributable to the at least one mobile application based on the amount of time radio connections associated with the mobile application are active. 10 . The mobile device of claim 7 , wherein the processor is further configured for displaying, via a user interface, the calculated amount of time. 11 . The mobile device of claim 7 , wherein the processor is further configured for displaying, via a user interface, the estimated battery usage for the at least one mobile application. 12 . The mobile device of claim 7 , wherein the processor is further configured for displaying, via a user interface, the expected battery life of the mobile device. 13 . A non-transitory computer-readable storage medium storing instructions to be implemented by a mobile device having a processor, wherein the instructions, when executed by the processor, causes the mobile device to: filter at least a portion of network signaling associated with mobile applications executing on a mobile device; calculate an amount of time a radio connection is active that is attributable to at least one mobile application; convert the calculated amount of time to estimated battery usage for the at least one mobile application; calculate an expected battery drain rate of the mobile device based on the estimated battery usage of the at least one mobile application; calculate expected battery life of the mobile device based on the expected battery drain rate and a total battery capacity of the mobile device. 14 . The non-transitory computer-readable storage medium of claim 13 , wherein the instructions, when executed by the processor, further causes the mobile device to calculate the amount of time a radio connection is active that is attributable to the at least one mobile application based on the timing of data packets sent and received by the mobile application. 15 . The non-transitory computer-readable storage medium of claim 13 , wherein the instructions, when executed by the processor, further causes the mobile device to calculate the amount of time a radio connection is active that is attributable to the at least one mobile application based on the amount of time radio connections associated with the mobile application are active. 16 . The non-transitory computer-readable storage medium of claim 13 , wherein the instructions, when executed by the processor, further causes the mobile device to display, via a user interface, the calculated amount of time. 17 . The non-transitory computer-readable storage medium of claim 13 , wherein the instructions, when executed by the processor, further causes the mobile device to display, via a user interface, the estimated battery usage for the at least one mobile application. 18 . The non-transitory computer-readable storage medium of claim 13 , wherein the instructions, when executed by the processor, further causes the mobile device to display, via a user interface, the expected battery life of the mobile device.

Assignees

Inventors

Classifications

  • according to available power supply, e.g. switching off when a low battery condition is detected · CPC title

  • Cross-Sectional Technologies · mapped topic

  • Traffic shaping · CPC title

  • H04W24/02Primary

    Arrangements for optimising operational condition · CPC title

  • Traffic characterised by specific attributes, e.g. priority or QoS · CPC title

Patent family

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External sources

Frequently asked questions

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What does patent US2017374566A1 cover?
The disclosed technology includes systems and methods for optimizing network traffic management in a mobile network. One method includes determining if a mobile application executing on a mobile device is associated with network signaling requiring a corresponding radio connection. At least a portion of the network signaling caused by the transactions is filtered. The filtered network signaling…
Who is the assignee on this patent?
Seven Networks Llc
What technology area does this patent fall under?
Primary CPC classification H04W52/0277. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Dec 28 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).