joint target delay determination and rate control for real-time videos in heterogeneous wireless networks

doi:10.19682/j.cnki.1005-8885.2021.0018

中国邮电高校学报(英文) ›› 2021, Vol. 28 ›› Issue (3): 36-48.doi: 10.19682/j.cnki.1005-8885.2021.0018

• Artificial Intelligence • 上一篇下一篇

joint target delay determination and rate control for real-time videos in heterogeneous wireless networks

陈锋¹,朱道平²,江晨³,郑明魁³,林楠³

1. 福州大学物理与信息学院
2. 福州大学
3. 福州大学物理与信息工程学院

收稿日期:2020-07-25 修回日期:2020-12-21 出版日期:2021-06-30 发布日期:2021-06-22
通讯作者: 陈锋 E-mail:chenf@fzu.edu.cn
基金资助:
国家自然科学基金;国家自然科学基金;国家自然科学基金;福建省自然科学基金

joint target delay determination and rate control for real-time videos in heterogeneous wireless networks

Received:2020-07-25 Revised:2020-12-21 Online:2021-06-30 Published:2021-06-22

摘要/Abstract

摘要：

In heterogeneous wireless networks with time-varying channels, the video rate is usually adjusted based on the network bandwidth to guarantee ultra-low latency video transmission under an end-to-end target delay constraint. However, the target delay with a fixed value according to historical experience cannot guarantee the quality of video continuously since wireless network bandwidth changes rapidly, especially when the network deteriorates. An alternative scheme is to dynamically set the target delay according to the network status within an acceptable delay range. However, this scheme cannot be ensured in heterogeneous wireless networks with time-varying channels. Thus, to address this issue, a multi-objective optimization algorithm for joint optimization of rate control and target delay is proposed, where the target delay and video rate are jointly adjusted dynamically. Second, to reduce the optimization complexity due to the multi-objective and multi-parameter characteristics, multi-objective optimization algorithm be decomposed and solved by optimizing each independent sub-problem. Finally, the proposed algorithm is verified on a semi-physical simulation platform. Experiments show that the frame loss rate is reduced from 6.65% to 2.06%, and a peak signal-to-noise ratio (PSNR) gain of 18.32% is obtained when the network performance is low.

关键词:

heterogeneous wireless networks, time-varying channels, video rate, target delay, mult-objective optimization, rate control

Abstract:

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joint target delay determination and rate control for real-time videos in heterogeneous wireless networks

joint target delay determination and rate control for real-time videos in heterogeneous wireless networks

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