Quality of experience aware multimedia communications over heterogeneous wireless networks
Abstract
Quality of experience (QoE) has been a user‐centric performance metric for multimedia communications. Existing communication protocols over heterogeneous networks are mostly based on quality of service, which ignores the user satisfaction and subjective evaluation. In this paper, the authors propose a novel QoE‐aware multimedia communication framework for heterogeneous wireless networks. Specifically, the authors make three main contributions in this paper: (i) a general QoE model has been established by jointly characterising the multimedia applications and heterogeneous networks, (ii) the issue of multimedia communications over heterogeneous networks has been transformed as a stochastic optimisation problem, and (iii) the optimal solution is provided by designing a QoE‐aware multimedia scheduling scheme. Importantly, the proposed scheme is simply enough for online implementation. Numerical simulations have demonstrated the efficiency and robustness of the proposed scheme.
7 References
[1]
Khan, A., Sun, L., Jammeh, E. et al: ‘Quality of experience‐driven adaptation scheme for video applications over wireless networks’, IET Commun., 2010, 4, (11), pp. 1337–1347 (https://doi.org/10.1049/iet-com.2009.0422)
[2]
Thakolsri, S., Khan, S., Steinbach, E. et al: ‘QoE‐driven cross‐layer optimization for high speed downlink packet access’, J. Commun., 2009, 4, (9), pp. 669–680 (https://doi.org/10.4304/jcm.4.9.669-680)
[3]
Thakolsri, S., Kellerer, W., Steinbach, E.: ‘QoE‐based cross‐layer optimization of wireless video with unperceivable temporal video quality fluctuation’. Proc. of IEEE ICC, 2011
[4]
Zhou, L., Wen, Y., Wang, H. et al: ‘Resource allocation with incomplete information for QoE‐driven multimedia communications’, IEEE Trans. Wirel. Commun., 2013, 12, (8), pp. 3733–3745 (https://doi.org/10.1109/TWC.2013.051413.120597)
[5]
Thakolsri, S., Cokbulan, S., Jurca, D. et al: ‘QoE‐driven cross‐layer optimization in wireless networks addressing system efficiency and utility fairness’. Proc. of IEEE Globecom, 2011
[6]
Khan, S., Duhovnikov, S., Steinbach, E. et al: ‘MOS‐based multiuser multiapplication cross‐layer optimization for mobile multimedia communication’, Adv. Multimed., 2007, pp. 94918:1–94918:11
[7]
Thakolsri, S., Kellerer, W., Steinbach, E.: ‘QoE‐based rate adaptation scheme selection for resource‐constrained wireless video transmission’. Proc. of ACM Multimedia, 2010
[8]
Zhou, L., Zhang, Y., Song, K. et al: ‘Distributed media‐service scheme for P2P‐based vehicular networks’, IEEE Trans. Veh. Technol., 2011, 60, (2), pp. 692–703 (https://doi.org/10.1109/TVT.2010.2102782)
[9]
Khan, A., Sun, L., Ifeachor, E.: ‘QoE prediction model and its application in video quality adaptation over UMTS networks’, IEEE Trans. Multimed., 2012, 14, (2), pp. 431–442 (https://doi.org/10.1109/TMM.2011.2176324)
[10]
Zhou, L., Rodrigues, J., Oliveira, L.: ‘QoE‐Driven power scheduling in smart grid: architecture, strategy, and methodology’, IEEE Commun. Mag., 2012, 50, (5), pp. 136–141 (https://doi.org/10.1109/MCOM.2012.6194394)
[11]
Dalton, L.A., Dougherty, E.R.: ‘Bayesian minimum mean‐square error estimation for classification errorpart I: definition and the Bayesian MMSE error estimator for discrete classification’, IEEE Trans. Signal Process., 2011, 59, (1), pp. 115–129 (https://doi.org/10.1109/TSP.2010.2084572)
[12]
Zhai, G., Yang, X., Lin, W. et al: ‘Bayesian error concealment with DCT pyramid for images’, IEEE Trans. Circuits Syst. Video Technol., 2010, 20, (9), pp. 1224–1232 (https://doi.org/10.1109/TCSVT.2010.2057019)
[13]
Zhou, L., Yang, Z., Wang, H. et al: ‘Impact of execution time on adaptive wireless video scheduling’, IEEE J. Sel. Areas Commun., 2014, 32, (4), pp. 760–772 (https://doi.org/10.1109/JSAC.2014.140408)
[14]
Zhou, L., Wang, X., Tu, W. et al: ‘Distributed scheduling scheme for video streaming over multi‐channel multi‐radio multi‐hop wireless networks’, IEEE J. Sel. Areas Commun., 2010, 28, (3), pp. 409–419 (https://doi.org/10.1109/JSAC.2010.100412)
[15]
Yan, Z., Wang, H., Park, Y. et al: ‘Performance study of the dual‐stack mobile IP protocols in the evolving mobile internet’, IET Netw., 2015, 4, (1), pp. 74–81 (https://doi.org/10.1049/iet-net.2013.0072)
[16]
Lai, C.‐F., Huang, Y.‐M., Chao, H.‐C. et al: ‘Adaptive body posture analysis using collaborative multi‐sensors for elderly falling detection’, IEEE Intell. Syst., 2010, 25, (2), pp. 20–30 (https://doi.org/10.1109/MIS.2010.39)
[17]
Lau, V., Cui, Y.: ‘Delay‐optimal power and subcarrier allocation for OFDMA systems via stochastic approximation’, IEEE Trans. Wirel. Commun., 2010, 9, (1), pp. 227–233 (https://doi.org/10.1109/TWC.2010.01.090031)
[18]
Farrokh, A., Krishnamurthy, V.: ‘Opportunistic scheduling for streaming multimedia users in high‐speed downlink packet access (HSDPA)’, IEEE Trans. Multimed., 2006, 8, (4), pp. 844–855 (https://doi.org/10.1109/TMM.2006.876227)
[19]
Zhou, L., Hu, R., Qian, Y. et al: ‘Energy‐spectrum efficiency tradeoff for video streaming over mobile ad hoc networks’, IEEE J. Sel. Areas Commun., 2013, 31, (5), pp. 981–991 (https://doi.org/10.1109/JSAC.2013.130516)
[20]
Wu, D., Cai, Y., Wang, J.: ‘A coalition formation framework for transmission scheme selection in wireless sensor networks’, IEEE Trans. Veh. Technol., 2011, 60, (6), pp. 2620–2630 (https://doi.org/10.1109/TVT.2011.2153219)
[21]
Wu, D., Cai, Y., Zhou, L.: ‘Cooperative strategies for energy‐aware ad hoc networks: a correlated equilibrium game‐theoretic approach’, IEEE Trans. Veh. Technol., 2013, 62, (5), pp. 2303–2314 (https://doi.org/10.1109/TVT.2012.2235189)
[22]
Cho, H.‐H., Chen, C.‐Y., Shih, T.K. et al: ‘Survey on underwater delay/disruption tolerant wireless sensor network routing’, IET Wirel. Sens. Syst., 2014, 4, (3), pp. 112–121 (https://doi.org/10.1049/iet-wss.2013.0118)
[23]
Lai, C.‐F., Chao, H.‐C., Lai, Y.‐X. et al: ‘Cloud‐assisted real‐time transrating for http live streaming’, IEEE Wirel. Commun., 2013, 20, (3), pp. 62–70 (https://doi.org/10.1109/MWC.2013.6549284)
[24]
Bertsekas, D.P., Nedic, A., Ozdaglar, A.E.: ‘Convex analysis and optimization’ (Athena Scientific, Belmont, Massachusetts, 2003)
[25]
Henstock, R.: ‘Theory of integration’ (Butterworth, London, UK, 1963)
Recommendations
Hybrid routing protocol with Quality of Service support for Ad Hoc Wireless Networks
In Mobile Ad Hoc Networks (MANETs), mobile nodes must collaborate amongst themselves to interconnect and establish communication. Moreover, their networking characteristics highlight a new breed of unresolved routing and Quality of Service problems. In ...
Back and to the future: quality provisioning for multimedia content delivery
MM '14: Proceedings of the 22nd ACM international conference on MultimediaQuality Provisioning concept has been with us for at least 25 years and it started with the claim to be one of the necessary building blocks for multimedia content distribution and delivery. A lot of research has been done on Quality of Service and ...
Infrastructure-based routing in wireless mobile ad hoc networks
In this paper, we propose a new protocol for wireless mobile ad hoc communications, which establishes a dynamic wireless mobile infrastructure to mimic and maintain the operation of the fixed infrastructure in cellular networks, namely, the Virtual Base ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
© 2016 The Institution of Engineering and Technology.
Publisher
John Wiley & Sons, Inc.
United States
Publication History
Published: 01 March 2016
Author Tags
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 30 Dec 2024