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http://dx.doi.org/10.9708/jksci.2017.22.02.045

Resource Allocation for Guaranteeing QoE in Mobile Communication Networks  

Lee, Moon-Ho (Dept. of Multimedia Science, Chungwoon University)
Lee, Jong-Chan (School of Computer Information and Communication Engineering, Kunsan National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.22, no.2, 2017 , pp. 45-50 More about this Journal
Abstract
This paper proposes a novel resource allocation scheme which allows to guarantee the user-perceived service quality for various high-quality mobile multimedia service such as interactive game, tactile internet service, remote emergency medical service or remote disaster handling robot control to a certain level in the mobile networks. In our proposed scheme, Mean Opinion Score(MOS), which represents the degree of user satisfaction for perceived quality, is determined based on the delay limit allowable to each service. Moreover resources are allocated in consideration of this MOS. Simulation results show that our proposed scheme can decrease the outage probability in comparison with existing schemes Moreover it can increase the total throughput as well.
Keywords
QoE; SLA; MOS; Delay; Resource Allocation;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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1 J. Moon, N. Park, S, Lee, and Y. Kim "Convergence of Wired Wireless Network Technologies for 5G Networks," Electronics and Telecommunications Trends, Vol. 28, No. 6, pp. 1-12, Dec. 2013.
2 N. V. Quoc-Thinh, N. Agoulmine and E. H. Cherkaoui, "Multicriteria Optimization of Access Selection to Improve the Quality of Experience in Heterogeneous Wireless Access Networks," IEEE Transactions on Vehicular Technology, Vol. 62, No. 4, pp.1785-1800, May 2013.   DOI
3 J. Jang and D. Kwon, "5G Mobile Communication Technology," Electronics and Telecommunications Trends, Vol. 30, No. 5, pp. 109-117, Oct. 2015.
4 GSMA Intelligence, "Understanding 5G: Perspectives on Future Technological Advancements in Mobile," pp. 4-6, Dec. 2014.
5 J. Lee and G. Lee, "An End-to-End QoS Control Method for Heterogeneous Networks," Journal of Korea Academia-Industrial cooperation Society, Vol. 10, No. 10, pp. 2715-2720, Oct. 2009.   DOI
6 J. Lee and M. Lee, "A QoS Provisioning Based on Load Balancing for Hand-over in OFDMA System," Journal of the Korea Society of Computer Information, Vol. 18, No. 2, pp. 59-68, Feb. 2013.   DOI
7 J. Lee and M. Lee, "Resource Allocation for QoS Provisioning in Overlaid Macrocell-Femtocell Networks," Journal of the Korea Society of Computer Information, Vol. 20, No. 10, pp. 153-59, Oct. 2015.
8 3GPP TR R1-050255, "Evolved Universal Terrestrial Radio Access (E-UTRA); Downlink Transmission Scheme," Apr. 2005.
9 3GPP TS 36.211 v8.4.0, "Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channel and Modulation," Sep. 2008.
10 J. Lee and M. Lee, "Sub-channel Allocation Based on Multi-level Priority in OFDMA Systems," KSII Transactionson Internet and Information Systems, Vol. 7, No.8, pp. 1876-1889, Aug. 2013.   DOI
11 P. Kyosti et al., "WINNER II Channel Models," IST-WINNER II D1.1.2, Nov. 2007.
12 J. Lee and M. Lee, "Resource Allocation Scheme for Macro-Femtocell Overlaid LTE-Advanced Networks," Journal of the Korea Society of Computer Information, Vol. 19, No. 12, pp. 81-89, Dec. 2014.   DOI
13 J. Lee and M. Lee, "A QoS Provisioning Based on Load Balancing for Hand-over in OFDMA System," Journal of the Korea Society of Computer and Information, Vol. 18 No. 2, pp. 59-68, Feb. 2013.   DOI
14 F. Yang, Q. Yang, F. Fu and K. Sup Kwak, "A QoE-based resource allocation scheme for multi-radio access in heterogeneous wireless network," Proceedings of International Symposium on Communications and Information Technologies, pp. 264-268, Sep. 2014.
15 Z. Xiao, Y. Xu, H. Feng, T. Yang, B. Hu, and Y. Zhou, "Modeling Streaming QoE in Wireless Networks with Large-Scale Measurement of User Behavior," Proceedings of Global Communications Conference, pp. 6-10, Dec. 2015.