Fast energy-optimized bandwidth resource allocation method for streaming media applications

Abstract

The invention discloses a streaming media application bandwidth resource allocation method with fast energy consumption optimization, which is applicable to the scene of streaming media bandwidth resource allocation of a single base station in a 3G or LTE mobile cellular network; a scheduling control is established between the base station and the server The scheduling controller regularly collects the number of users in the network, the playback rate of the users, the size of the video requested by the user, and the buffering time of updating the user, etc.; when multiple users in the cellular network request streaming media data, the scheduling controller runs a fast energy-saving stream The media bandwidth allocation strategy is to allocate bandwidth for each user to save the energy of the mobile terminal, and at the same time ensure that the video freeze time does not exceed a certain limit, and use the adjustment coefficient to realize the trade-off between the energy consumption of the mobile terminal and the user's video buffering time; In the case of satisfying the buffering time limit of streaming video users, the average energy consumption of all clients is minimized.

Description

technical field [0001] The invention belongs to the application field of bandwidth resource allocation in mobile cellular networks, and in particular relates to a fast energy consumption optimized streaming media application bandwidth resource allocation method. Background technique [0002] According to Cisco's research reports in recent years, the traffic of streaming media applications has grown exponentially, and it is estimated that by 2018, its traffic will account for more than 69% of the total traffic. Due to the continuous development of wireless access technologies, more and more people will choose to access 3G or LTE networks to watch videos. However, the battery development technology of mobile terminals is relatively lagging behind at present, and it is difficult to support users to use streaming media applications for a long time, which restricts the development of mobile streaming media applications to a certain extent. In the mobile network scenario, the mai...

AI Technical Summary

Problems solved by technology

Within the scope of a single base station, the service bandwidth of the base station is limited, and it is relatively common to request streaming media data online. A large amount of data requests will lead to user competition and video freezes.

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

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