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Relay-assisted hierarchical adaptation scheme for multi-user scalable video delivery to heterogeneous mobile devices

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Abstract

In multi-user video (MUV) delivery scenarios, the available resources of receiver devices, such as processing capability, link packet error rate (PER), and bandwidth, are usually different. We propose a relay-assisted hierarchical adaptation (RHA) scheme to maximize the total perceptual quality of all users when transmitting video streams coded via scalable video coding (SVC). First, MUV bitstreams are adaptively extracted under the constraints of network bandwidth and individual decoding capacity. Next, the relay links are introduced as substitutes of possible bad direct links for packets retransmissions. Approximately equal opportunity of transmission is allocated to each stream while the packets inside a stream are scheduled according to their priorities. The priorities are determined by the links states and packets loss distortions. Simulation results show that our RHA scheme has significant performance improvements compared with other schemes.

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References

  1. Hsu J, van der Schaar M. Cross-layer design and analysis of multiuser wireless video streaming over 802.11e. IEEE Signal Proc Let, 2009, 16: 268–271

    Article  Google Scholar 

  2. Maani E, Pahalawatta P V, Berry R, et al. Resource allocation for downlink multiuser video transmission over wireless lossy networks. IEEE Trans Image Process, 2008, 17: 1663–1671

    Article  MathSciNet  Google Scholar 

  3. Su G, Han Z, Wu M, et al. A scalable multiuser framework for video over OFDM networks: fairness and efficiency. IEEE Trans Circ Syst Vid, 2006, 16: 1217–1231

    Article  Google Scholar 

  4. Li F, Liu G, He L. Cross-layer scheduling for multiuser H.264 video transmission over wireless networks. IET Commun, 2010, 4: 1012–1025

    Article  Google Scholar 

  5. Zhu X, Agrawal P, Pal Singh J, et al. Rate allocation for multi-user video streaming over heterogeneous access networks. In: Proceedings of ACM Multimedia (MM’ 07). New York: Association for Computing Machinery, 2007. 37–46

    Google Scholar 

  6. Lu X, Wang Y, Erkip E, et al. Total power minimization for multiuser video communications over CDMA networks. IEEE Trans Circ Syst Vid, 2007, 17: 674–685

    Article  Google Scholar 

  7. Shiang H, van der Schaar M. Multi-user video streaming over multi-hop wireless networks: a distributed, cross-layer approach based on priority queuing. IEEE J Sel Area Comm, 2007, 25: 770–785

    Article  Google Scholar 

  8. Liu Y, Ma D. Multiuser scalable video streaming over Ad-Hoc wireless network with strict delay and energy constraints. In: Proceedings of International Conference on Wireless On-demand Network Systems and Services (WONS’ 2010). Piscataway: IEEE Press, 2010. 47–52

    Chapter  Google Scholar 

  9. Mansour H, Krishnamurthy V, Nasiopoulos P. Channel aware multiuser scalable video streaming over lossy under-provisioned channels: modeling and analysis. IEEE Trans Multimedia, 2008, 10: 1366–1381

    Article  Google Scholar 

  10. Laneman J N, Tse D N C, Wornell G W. Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans Inform Theory, 2004, 50: 3062–3080

    Article  MathSciNet  Google Scholar 

  11. Alcaraz J J, Garcia-Haro J. Performance of single-relay cooperative ARQ retransmission strategies. IEEE Commun Lett, 2009, 13: 121–123

    Article  Google Scholar 

  12. Schwarz H, Marpe D, Wiegand T. Overview of the scalable video coding extension of the H.264/AVC standard. IEEE Trans Circ Systr Vid, 2007, 17: 1103–1120

    Article  Google Scholar 

  13. Hu J, Choudhury S, Gibson J. PSNRr,j-MOSr: an easy-to-compute multiuser perceptual video quality measure. In: Proceedings of International Conference on Quality of Multimedia Experience (QoMEX’ 2009). Piscataway: IEEE Press, 2009. 116–120

    Chapter  Google Scholar 

  14. Ou Y, Ma Z, Wang Y. A novel quality metric for compressed video considering both frame rate and quantization artifacts. IEEE Trans Circ Syst Vid, 2011, 21: 286–298

    Article  Google Scholar 

  15. Ma Z, Wang Y. Complexity modeling of scalable video decoding. In: Proceedings of International Conference on Acoust, Speech, Signal Processing (ICASSP’ 08). Piscataway: IEEE Press, 2008. 1125–1128

    Google Scholar 

  16. Wah B W, Wu Z. The theory of discrete Lagrange multipliers for nonlinear discrete optimization. LNCS, 1999, 1713: 28–42

    Google Scholar 

  17. Joint Scalable Video Model (JSVM). JSVM Software, Joint Video Team, Doc. JVT-X203. Geneva, 2007

  18. Intel VTune performance analyzer. Available at: http://software.intel.com/en-us/intel-vtune/

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Correspondence to QiongHai Dai.

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Xiao, H., Ji, X. & Dai, Q. Relay-assisted hierarchical adaptation scheme for multi-user scalable video delivery to heterogeneous mobile devices. Sci. China Inf. Sci. 55, 1541–1550 (2012). https://doi.org/10.1007/s11432-012-4592-9

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  • DOI: https://doi.org/10.1007/s11432-012-4592-9

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