.png){kind=icon}
返回
On Reducing Intercept Probability for Unsubscribed Video Layers Using Network Coding
.png){kind=icon}
PRE
AI
DOI：10.1109/LCOMM.2017.2671406.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this letter, we use random linear network coding (RLNC) to deliver a two layered video sequence to two wireless subscribers such that a high-paying subscriber receives the highest quality and a low-paying subscriber receives the basic quality. We first derive closed-form expressions for the probability of the low-paying subscriber intercepting sufficient coded packets to experience the highest video quality. We consider both feedback-aided and feedback-free transmissions. We propose a resource allocation framework that minimizes the intercept probability subject to deadline and subscribed video quality constraints. We show the tightness between the theoretical and simulation results, and illustrate the protection achieved by RLNC for subscription-based layered video delivery.
Keyword:
Network coding
layered video
intercept probability
subscription based video delivery
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
机构
引用论文
.png){kind=icon}
没有更多内容
没有更多内容