DocumentCode :
598166
Title :
A Quality-of-Experience driven bidding game for uplink video transmission in next generation mobile networks
Author :
Schroeder, Damien ; El Essaili, Ali ; Steinbach, Eckehard ; Despotovic, Zoran ; Kellerer, Wolfgang
Author_Institution :
Inst. for Media Technol., Tech. Univ. Munchen, Munich, Germany
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2281
Lastpage :
2284
Abstract :
Centralized approaches to solve resource allocation problems for wireless real-time multimedia communications have been intensively studied but require the availability of meta information about the multimedia content and channel information of all users. In this paper, we propose a Quality of Experience (QoE) driven bidding game for de-centralized uplink resource allocation among multiple mobile video producers. Different from previous works, the price per resource unit is defined on a Mean Opinion Score (MOS) scale and users bid for the resources that maximize their own utility function. Simulations in an LTE environment show the benefits of our distributed approach in terms of convergence time and QoE performance, compared to a centralized greedy scheme and a state-of-the-art game-theoretic approach.
Keywords :
Long Term Evolution; game theory; mobile radio; multimedia communication; next generation networks; quality of experience; video communication; LTE environment; MOS scale; QoE-driven bidding game; centralized approach; centralized greedy scheme; de-centralized uplink resource allocation; mean opinion score scale; multimedia content; multiple-mobile video producers; next generation mobile networks; quality-of-experience driven bidding game; state-of-the-art game-theoretic approach; uplink video transmission; user channel information; utility function maximization; wireless real-time multimedia communications; Convergence; Mobile communication; Mobile computing; Multimedia communication; Optimization; Resource management; Streaming media; LTE; Quality of Experience; game theory; resource allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467351
Filename :
6467351
Link To Document :
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