QoE driven video code rate adaptive and resource allocation joint algorithm under LTE network

A resource allocation and self-adaptive technology, applied in the direction of network traffic/resource management, electrical components, wireless communication, etc., can solve problems such as impact, user transmission rate cannot accurately evaluate user subjective perception, etc.

Active Publication Date: 2019-02-12
XI AN JIAOTONG UNIV
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Problems solved by technology

However, with the in-depth research on HTTP dynamic adaptive streaming, the user's playback interruption time, playback times, and video bit rate switching frequency

Method used

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  • QoE driven video code rate adaptive and resource allocation joint algorithm under LTE network
  • QoE driven video code rate adaptive and resource allocation joint algorithm under LTE network
  • QoE driven video code rate adaptive and resource allocation joint algorithm under LTE network

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Embodiment Construction

[0067] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments, which are explanations of the present invention rather than limitations.

[0068] A single LTE cell includes W users, and there are N RBs in the system. The HAS server stores video segments of L bit rates for user requests.

[0069] see figure 1 and figure 2 , the QoE-driven video code rate adaptation and resource allocation joint algorithm under the LTE network provided by the present invention comprises the following steps:

[0070] 1) Analyze the impact of code rate, interruption time, number of interruptions, and quality fluctuations on users' subjective perception, and establish a QoE prediction model;

[0071] 2) The user feeds back the status of the buffer area to the base station, and the base station judges whether the user needs to allocate network resources and video requests according to the user's remaining buffer, and determine...

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Abstract

The invention discloses a QoE driven video bit rate adaptive and resource allocation joint algorithm under an LTE network. A QoE prediction model based on video segment features and playback information is established; and five factors such as video segment bit rates, initial delay, interruption duration, interruption times and quality fluctuations are taken into consideration. According to the prediction model, subjective quality of experience when users watch videos can be accurately predicted. A base station global uniform deciding video request and resource allocation joint algorithm provided by the invention comprises the steps that a base station determines a user set to which network resources need to be allocated according to buffer information fed back by the users; current to-be-allocated RBs are found, and QoE and QoE gain values of the videos of quality versions employed by user requests are computed when the RBs are allocated to all users; and the current RB is allocated to the user with the maximum gain value, until all RBs are allocated completely. According to the algorithm, channel condition of the users is taken into comprehensive consideration, and on the premisethat network resources are limited, the subjective quality of experience of watching the videos by all users in the LTE network is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a QoE-driven joint algorithm of video code rate self-adaptation and resource allocation under an LTE network. Background technique [0002] With the continuous improvement of wireless access rate, the types of mobile communication services gradually evolve from pure voice and common data services to rich multimedia services, mainly video services. With the upgrading of mobile devices, people start to use mobile phones, tablets and other portable devices to watch videos online. At present, multimedia services, especially video services, are occupying an increasing proportion in the data traffic of the entire Internet. [0003] On the other hand, users' demand for watching high-quality streaming video is constantly increasing. The traditional streaming media technology adopts the stateful RTP / RTSP protocol. When the client and the streaming media server...

Claims

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Application Information

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IPC IPC(8): H04W28/16H04W28/02H04W24/06
CPCH04W24/06H04W28/0236H04W28/0268H04W28/0278H04W28/16
Inventor 李凡杨瑾马锐捷
Owner XI AN JIAOTONG UNIV
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