Method for distributing bandwidth resource of streaming media application with optimized energy consumption

Abstract

The present invention discloses a method for distributing bandwidth resource of streaming media application with optimized energy consumption, and is adapted to the scenario of distributing bandwidth resource of the streaming media of a single base station in a mobile cellular network. A bandwidth distributing controller deployed between the base station and the core network regularly collects information such as service bandwidth of the network streaming media application, signal strength information of each user, the rate of playing the video by each user, the streaming media data size requested by the user; and when the mobile user in the network requests the streaming media data, the bandwidth distributing controller runs the energy consumption optimized streaming media bandwidth resource distributing algorithm, to distribute bandwidth for the streaming media user in the cellular network. The present invention can ensure limited buffer time and relatively fair services for all users, and each user is enabled to have a relatively small energy consumption, moreover, the present invention further allows the network manager to control the complexity of the algorithm and the accuracy of the algorithm via the accuracy parameters, and to achieve the balance between the mobile terminal energy consumption and the user video buffer time according to the adjustment coefficient V at the same time.

Description

technical field [0001] The invention belongs to the technical field of bandwidth resource allocation for streaming media applications in mobile cellular networks, and in particular relates to a method for allocating bandwidth resources for streaming media applications with optimized energy consumption. Background technique [0002] With the rapid development of 3G and LTE technologies, streaming media applications such as YouTube, Netflix, and Hulu are becoming more and more popular. It is also common to see videos connected to 3G or LTE networks on buses, subways, and trains. According to the Cisco Network Index Research Report in 2014, the traffic of streaming media applications has already accounted for 53% of the total network traffic, and it is expected that by 2018, this indicator will reach about 69%. However, the battery life of mobile devices has not kept pace with the development of streaming media technology and network technology, and has become a major bottlenec...

AI Technical Summary

Problems solved by technology

In addition, the above-mentioned methods are designed for energy-saving wireless resource transmission of a single user, and do not consider multi-user competition and resource allocation.

Within the scope of a single base station, the service bandwidth of the base station is limited, but it is common to request streaming media data online at the same time. A large amount of data requests will lead to user competition, resulting in serious network congestion and video freezes for streaming media users.

Therefore, it is not advisable to only consider the case of a single user

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