Multi-connection DCCP user-to-user video streaming over mobile WiMAX

Al-Majeed, Salah ORCID: 0000-0002-5932-9658 and Fleury, Martin (2011) Multi-connection DCCP user-to-user video streaming over mobile WiMAX. In: 2011 IEEE Consumer Communications and Networking Conference (CCNC), 9-12 January, Las Vegas, NV, USA.

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Abstract

The need to respond to congestion and channel loss over not one but two wireless links is an impediment to video streaming between one mobile user device and another via an intervening IP network. The result can be poor wireless channel utilization and interruptions to the streaming process. This paper proposes that multi-connection streaming will avoid the need for application-specific cross-layer intervention to address this problem. In considering IEEE 802.16e (mobile WiMAX), the paper demonstrates that multi-connection streaming is certainly necessary but only sufficient if an appropriately sized Time Division Duplex frame is selected. Received video quality will also depend on correct determination of the number of connections and the compression ratio of the video itself. The quality of the received video must be traded off against the time to stream the complete video sequence, which in term is determined by the number of connections.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2011 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: Data Compression; User-to-User Video Streaming; Mobile WiMAX; Datagra, Congestion Control Protocol; IEEE 802.16; Wireless Links; IP network; Application Specific Cross-Layer Intervention; Time Division Duplex Frame; Video Quality; Video Compression; Video Sequence
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: 08 Nov 2018 13:42
Last Modified: 09 Nov 2018 02:19
URI: http://eprints.glos.ac.uk/id/eprint/6132

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