Method based on wireless network interface selection to improve a smart phone user experience

Abstract

The invention brings forward a method based on a wireless network interface selection to improve a smart phone user experience. According to the invention, in view of the vehicle-mounted mobile situation, an optical user experience is obtained by dynamically distributing a wireless network interface to an application node with data independence. Two solutions are brought forward in the invention. One solution is as follows: enumerating all probability execution events of an application node by carrying out a depth-first search on a solution space; carrying out pruning based on constraints; and selecting a wireless network interface for each node to obtain an optical user experience; the other solution is as follows: decomposing a problem into a problem of a smaller subgraph by a dynamic programming; distributing and determining a probability event for each node having a plurality of father nodes to avoid a conflict in selecting a wireless network interface; deleting a suboptimal solution and an infeasible solution by using a redundant node concept to obtain an optical user experience and a selection of a wireless network interface of each node. According to the invention, a good user experience can be obtained; moreover, the user can set an experience parameter by himself/herself, so that more freedom and selection space are provided for the user.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to a method for enhancing user experience of a smart phone based on wireless network interface selection. Background technique [0002] In the information age, every smartphone is a handheld mobile terminal that constantly receives and sends data. At the same time, mobile users expect an optimal user experience characterized by low latency, cheap wireless network service, and low power consumption. However, in reality, the performance of smartphones is affected by many factors such as wireless signal attenuation, power management strategies, and environmental conditions. In order to improve user experience and meet real-time requirements, existing research emphasizes the realization of wireless network self-interface adaptive technology: by detecting the current wireless network environment or predicting the current network status based on past wireless data, dynamic Select t...

AI Technical Summary

Problems solved by technology

At the same time, existing research ignores the uncertainty of mobile application execution time caused by time-varying wireless networks and conditional instructions, and only considers the optimization strategy in the worst case

In addition, in the case of vehicle mobility, users need to complete a series of data-related mobile applications. In existing research, the use of 3G wireless networks can provide better transmission speed and lower packet loss rate, but it has a higher Power Consumption and Tariff

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