• DocumentCode
    2808686
  • Title

    Optimal solution for SVC-based video transmission over a realistic mimo channel using precoder designs

  • Author

    Hamidouche, Wassim ; Perrine, Clency ; Pousset, Yannis ; Olivier, Christian

  • Author_Institution
    Dept. of Signal Image & Commun. Teleport 2, Poitiers Univ., Futuroscope, France
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2346
  • Lastpage
    2349
  • Abstract
    In this paper we propose a novel scheme for SVC-based video transmission over MIMO channels using precoder solutions. On the one hand, H.264/SVC codec ensures spatial, temporal and quality scalabilities and provides an intrinsic hierarchy over transmitted bitstreams. On the other hand, precoder designs, which decouple a MIMO channel into parallel and independent SISOsub-channels, offer a high BER performance with a hierarchy over the sub-channels. The proposed scheme exploits the scalability of the H.264/SVC codec jointly with four precoder solutions providing an UEP without any surplus redundancy. Besides, some of these precoders such as QoS and E-dmin allow a high flexibility on the power allocation across the sub-channels. This scalability is used to analytically draw the bandwidth allocation problem for H.264/SVC transmission over MIMO channels. The solution of this problem allows an optimal selection of each transmission bloc parameter approaching the optimal solution in term of Rate Distortion (RD) criterion. The simulation results show the performance of the proposed scheme over both statistical and realistic MIMO channels. Moreover, the accuracy of these precoder solutions against the Channel Estimation (CE) errors is investigated in different user mobility speeds.
  • Keywords
    MIMO communication; bandwidth allocation; channel estimation; video coding; H.264/SVC codec; MIMO channel; bandwidth allocation; channel estimation errors; precoder designs; rate distortion criterion; video transmission; Bit error rate; Channel allocation; Codecs; Error correction codes; MIMO; OFDM; Redundancy; Scalability; Signal to noise ratio; Static VAr compensators; E-dmin precoder; H.264/SVC; MIMO; OFDM; Optimal bandwidth allocation; Precoder solutions; QoS precoder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496085
  • Filename
    5496085