DocumentCode :
1861453
Title :
MOS-Based Channel Allocation Schemes for Mixed Services over Cognitive Radio Networks
Author :
Lei He ; Bin Liu ; Yuanzhi Yao ; Nenghai Yu ; Chang Wen Chen
Author_Institution :
Sch. of Inf. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2013
fDate :
26-28 July 2013
Firstpage :
832
Lastpage :
837
Abstract :
In cognitive radio (CR) networks, secondary users (SUs) may have various applications such as multimedia delivery and file download, resulting in different bandwidth requirements. In this paper, we propose a channel allocation scheme for mixed services, especially video streaming, based on mean opinion score (MOS) maximization. MOS is an effective metric of Quality of Experience (QoE) that directly measures the satisfaction of the end users. The cognitive radio network base station (CRNBS) collects all the SUs´ application information and allocates available channel resource to the SUs with the overall user perceived MOS maximized and fairness among SUs ensured. The simulation results confirm that the proposed MOS-based channel allocation scheme outperforms the conventional good put-based scheme in terms of overall user satisfaction.
Keywords :
channel allocation; cognitive radio; optimisation; quality of experience; video streaming; CR networks; CRNBS; MOS-based channel allocation scheme; QoE metric; SU application information; bandwidth requirement; cognitive radio network base station; conventional good put-based scheme; file download; mean opinion score maximization; mixed services; multimedia delivery; overall user satisfaction; quality of experience; secondary users; video streaming; Channel allocation; Greedy algorithms; Optimization; PSNR; Packet loss; Streaming media; Cognitive radio networks; MOS; channel allocation; fairness; mixed services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICIG.2013.171
Filename :
6643786
Link To Document :
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