ADAPTIVE POLICIES FOR REAL-TIME VIDEO TRANSMISSION: A MARKOV DECISION PROCESS FRAMEWORK

被引：0

作者：

Chen, Chao ^{[1
]}

Heath, Robert W., Jr. ^{[1
]}

Bovik, Alan C. ^{[1
]}

de Veciana, Gustavo ^{[1
]}

机构：

[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA

来源：

2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年

关键词：

CHANNELS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We study the problem of adaptive video data scheduling over wireless channels. We prove that, under certain assumptions, adaptive video scheduling can be reduced to a Markov decision process over a finite state space. Therefore, the scheduling policy can be optimized via standard stochastic control techniques using a Markov decision formulation. Simulation results show that significant performance improvement can be achieved over heuristic transmission schemes.

引用

页数：4

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