User behavior analysis-based energy-saving method for mobile network

A mobile network and behavior analysis technology, applied in the field of mobile network, can solve problems such as ignoring the important impact of users, optimization methods affecting normal use of users, and limited energy utilization

Active Publication Date: 2014-04-02
WUXI TSINGHUA NAT LAB FOR INFORMATIONSCI & TECH INTERNET OF THINGS TECH CENT
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Problems solved by technology

However, these two methods have very obvious defects: (1) the energy utilization rate improvement is extremely limited; (2) the optimization method is likely to affect the normal use of users
The main reason for thi

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  • User behavior analysis-based energy-saving method for mobile network
  • User behavior analysis-based energy-saving method for mobile network
  • User behavior analysis-based energy-saving method for mobile network

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Embodiment Construction

[0055] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0056] The mobile network energy-saving method based on user behavior analysis proposed by the present invention, that is, a network communication optimization method based on user behavior, specifically includes the following steps:

[0057] (1) Construction of theoretical model: This theoretical model mainly includes three steps: predicting the time interval of user activities, that is, user active period; predicting the time interval of network activities caused by applications when the mobile terminal is not in operation, that is, application active period; Formulate an optimization strategy to maximize energy utilization while minimizing the probability of affecting the normal use of users.

[0058] Table 1 parameters and description

[0059]

[0060] (a). The time interval for predicting user activities: Assuming that there are k days of recorded valu...

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Abstract

The invention provides a user behavior analysis-based energy-saving method for a mobile network. The method comprises the following steps of (a) predicting a time interval for user activities, i.e. a user active time interval; (b) predicting a time interval for network activities caused by applications, i.e. an application active time interval, when the mobile terminal is not operated; (c) formulating an optimization strategy for the network activities, namely allocating a user time interval for the network activities caused by each application when the mobile terminal is not operated, moving the network activities to the corresponding user active time interval, and disconnecting the mobile network within the original application active time interval, so that energy is maximally saved, and punishment influencing the normal use of a user is minimized. According to the method, the utilization rate of the mobile network can be increased, and meanwhile, unnecessary connection time for the network is reduced, so that the aim of energy saving is fulfilled.

Description

technical field [0001] The invention relates to the field of mobile networks, in particular to an energy-saving optimization method based on user behavior analysis. Background technique [0002] In recent years, the mobile application market has developed rapidly. According to statistics, in the Android application market, there are millions of applications available for users to download. Among the dazzling array of applications, a large number of applications (such as Renren, Phoenix News) rely on the mobile network for information interaction and software upgrades. Although relying on the mobile network, these applications can bring great convenience to users, but the mobile network also has a prominent defect, that is, huge energy consumption. Now that there is no major breakthrough in battery technology, how to solve the contradiction between users' ever-increasing network usage needs and extremely limited battery resources has become a top priority. [0003] Faced wi...

Claims

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Application Information

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IPC IPC(8): H04W52/02G06F17/30H04L12/24
CPCY02B60/50Y02D10/00Y02D30/70
Inventor 张懿刘云浩
Owner WUXI TSINGHUA NAT LAB FOR INFORMATIONSCI & TECH INTERNET OF THINGS TECH CENT
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