Effective Video Transport over WiMAX with Data Partitioning and Rateless Coding

Al-Majeed, Salah ORCID: 0000-0002-5932-9658, Al-Jobouri, Laith, Fleury, Martin and Ghanbari, Mohammed (2010) Effective Video Transport over WiMAX with Data Partitioning and Rateless Coding. In: 2010 10th IEEE International Conference on Computer and Information Technology, 29 June -1 July, Bradford, UK.

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Abstract

Video streaming is anticipated to be a key application of broadband wireless access networks such as WiMAX. This paper proposes a combination of data-partitioning of compressed video information and rateless channel coding to ensure effective video transport. A counter-intuitive result is that comparatively improved objective video quality occurs even though privileged application-layer forward error correction is not given to high priority data. Instead a flat channel coding is used across the data partitions. The scheme results in a lower number of dropped packets at the transmitter buffer and/or a reduced number of packets corrupted by channel noise compared to simple slicing or no frame slicing at all. Larger-sized IEEE 802.16 (WiMAX) Time Division Duplex frames are found to reduce the number of packets dropped through traffic congestion.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Streaming Media; WiMAX; encoding; Decoding; Automatic Voltage Control; Complexity Theory; Codecs
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools and Research Institutes > School of Business and Technology > Technical & Applied Computing
Research Priority Areas: Applied Business & Technology
Depositing User: Kate Greenaway
Date Deposited: 06 Nov 2018 15:15
Last Modified: 09 Nov 2018 02:19
URI: http://eprints.glos.ac.uk/id/eprint/6133

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