JOURNAL ARTICLE

Layered resource allocation for video broadcasts over wireless networks

Junu KimJinsung ChoHeonshik Shin

Year: 2008 Journal:   IEEE Transactions on Consumer Electronics Vol: 54 (4)Pages: 1609-1616   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper aims to combine adaptive modulation and coding with layered video coding to improve the quality of video services to users experiencing differing radio conditions, in the context of broadcast and multicast standards such as MBMS and BCMCS. We propose an optimal radio resource allocation algorithm which maximizes a general performance metric for a video session in polynomial time. We show that system-wide optimal resource allocation can be obtained by combining our algorithm with a simple two-step decomposition of the system. In some configurations frequent re-allocations of resource are required, so we also present a sub-optimal allocation algorithm which runs in near linear time. Simulation results show better video quality than existing resource allocation schemes over a range of conditions, and also suggest that the difference between the performance of optimal and suboptimal solutions is less than 3%.

Keywords:
Computer science Multicast Resource allocation Computer network Coding (social sciences) Video quality Multimedia Broadcast Multicast Service Radio resource management Wireless Link adaptation Wireless network Real-time computing Distributed computing Metric (unit) Fading Telecommunications

Metrics

26
Cited By
3.71
FWCI (Field Weighted Citation Impact)
17
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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