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|Title:||QoE-aware resource allocation for scalable video transmission over multiuser MIMO-OFDM systems||Authors:||Li, Maodong
Tan, Yap Peng
|Keywords:||DRNTU::Engineering::Electrical and electronic engineering||Issue Date:||2012||Source:||Li, 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).||Abstract:||We 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.||URI:||https://hdl.handle.net/10356/97746
|DOI:||10.1109/VCIP.2012.6410733||Rights:||© 2012 IEEE.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||EEE Conference Papers|
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