dc.contributor.authorLi, Maodong
dc.contributor.authorChen, Zhenzhong
dc.contributor.authorTan, Yap Peng
dc.identifier.citationLi, M., Chen, Z., & Tan, Y. P. (2012). QoE-aware resource allocation for scalable video transmission over multiuser MIMO-OFDM systems. 2012 IEEE Visual Communications and Image Processing (VCIP).en_US
dc.description.abstractWe investigate in this paper how to maximize multiuser Quality of Experience (QoE) when scalable videos are transmitted over Multiple-Input Multiple-Output (MIMO)-Orthogonal Frequency Division Multiplexing (OFDM) systems. We first study the QoE issues in Scalable Video Coding (SVC) adaptation by constructing a QoE assessment database. We derive the optimal scalability adaptation track for individual video and further summarize common scalability adaptation tracks for grouped videos. A rate-model is developed for SVC adaptation and is employed in designing an efficient resource allocation solution for SVC streaming over multiuser MIMO-OFDM systems. Specifically, time-frequency unit assignment, power allocation, and modulation selection are jointly optimized to maximize users' QoE. Experimental results show that the proposed QoE-aware scalability adaptation scheme significantly outperforms the conventional adaptation schemes, and the proposed QoE-aware resource allocation achieves better QoE performance when compared to existing resource allocation methods.en_US
dc.rights© 2012 IEEE.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleQoE-aware resource allocation for scalable video transmission over multiuser MIMO-OFDM systemsen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE Visual Communications and Image Processing (2012 : San Diego, US)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US

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