无线视频通信中基于队列预测的自适应缓存管理算法

钱超; 朱晓荣

doi:10.3969/j.issn.1000-0801.2014.07.011

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无线视频通信中基于队列预测的自适应缓存管理算法

研究与开发 | 更新时间：2024-06-05

- 无线视频通信中基于队列预测的自适应缓存管理算法
- An Adaptive Buffer Management Algoritbm Based on Queue Prediction for Wireless Video Communication
- 电信科学 2014年30卷第7期页码：70-76
- 作者机构：
  
  1. 南京邮电大学江苏省无线通信重点实验室南京 210003
  2. 东南大学移动通信国家重点实验室南京 210096
- 作者简介：
  
  [ "钱超，男，南京邮电大学硕士生，主要研究方向为无线通信和多媒体通信。" ]
  [ "朱晓荣，女，博士，南京邮电大学副教授，主要研究方向为异构网络融合、泛在网络、无线传感器网络等无线资源管理，跨层优化算法及协议设计。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The Natural Science Foundation of China(61372125);国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China (973 Program)(2013CB329104);江苏省自然科学基金资助项目(BK2012831);东南大学移动通信国家重点实验室开放研究基金资助项目(2013D01)
- DOI：10.3969/j.issn.1000-0801.2014.07.011
  中图分类号：
- 网络出版日期：2014-07，
  
  纸质出版日期：2014-07-20
- 稿件说明：
移动端阅览
钱超, 朱晓荣. 无线视频通信中基于队列预测的自适应缓存管理算法[J]. 电信科学, 2014,30(7):70-76.

Chao Qian, Xiaorong Zhu. An Adaptive Buffer Management Algoritbm Based on Queue Prediction for Wireless Video Communication[J]. Telecommunications science, 2014, 30(7): 70-76.
钱超, 朱晓荣. 无线视频通信中基于队列预测的自适应缓存管理算法[J]. 电信科学, 2014,30(7):70-76. DOI： 10.3969/j.issn.1000-0801.2014.07.011.

Chao Qian, Xiaorong Zhu. An Adaptive Buffer Management Algoritbm Based on Queue Prediction for Wireless Video Communication[J]. Telecommunications science, 2014, 30(7): 70-76. DOI： 10.3969/j.issn.1000-0801.2014.07.011.

摘要

无线网络中实时视频业务对网络环境的变化非常敏感，因此通常需要在接收端采用合理的缓存管理策略来缓解网络波动对用户观看视频造成的影响。提出一种基于队列预测的自适应缓存播放管理机制，该方法通过判断当前缓存队列的状态，并根据实时视频到达率和端到端时延对缓存长度以及播放速率进行综合调整。实验结果表明，所提算法可以随着网络环境的波动自适应地调整缓存大小和播放速率，有效降低视频业务的中断频率和丢帧率。

Abstract

The real-time video services in wireless networks are fragile to the dynamic network environment.Therefore

proper buffering management techniques are adopted to mitigate the impact of network fluctuation on user experiences. An adaptive buffer management algorithm based on queue prediction was proposed for wireless video streaming applications. By judging the current state of the buffer

the scheme adjusted the video playout rate and buffer size according to the real-time frame arrival rate and end-to-end delay. The experiments were conducted to validate the proposed algorithm.The experimental results show that this method is able to adaptively adjust buffer size and playout rate according to network fluctuations

which reduces the interrupt frequency and the number of lost frame effectively.

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Keywords

references

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