JOURNAL ARTICLE

Content-Aware Resource Allocation for Scalable Video Transmission to Multiple Users Over a Wireless Network

Abstract

Wireless video transmission is prone to unpredictable degradations due to time-varying channel conditions. Such degradations are difficult to overcome using conventional video coding techniques. Scalable video coding offers a flexible bitstream that can be dynamically adapted to fit the prevailing channel conditions. Within a scalable video coding framework, we develop simple packet prioritization strategies, which, when combined with a reasonable error concealment scheme and a content-aware resource allocation technique, provide for robust video transmission over time-varying channels. The packet prioritization as well as the calculation of the content-aware scheduling metric can be performed offline and signaled to the wireless scheduler.

Keywords:
Computer science Scalable Video Coding Computer network Scalability Bitstream Wireless Network packet Scheduling (production processes) Real-time computing Wireless network Coding (social sciences) Packet loss Prioritization Decoding methods Telecommunications

Metrics

7
Cited By
0.64
FWCI (Field Weighted Citation Impact)
8
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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