• DocumentCode
    2222320
  • Title

    MMSE power allocation for image and video transmission over wireless channels

  • Author

    Sediq, A.B. ; El-Tarhuni, Mohamed

  • Author_Institution
    Dept. of Electr. Eng., American Univ. of Sharjah
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Firstpage
    1060
  • Abstract
    In this paper, a new technique for power allocation to transmitted bits according to their significance on the message quality is presented. The proposed scheme is based on optimizing the power allocation to minimize the mean-square error rather than the bit error probability of image and video signals transmitted over fading wireless channels. An analytical framework for the power allocation technique is developed. Two techniques of power allocation; fixed and adaptive, are investigated in the paper. Simulation results show that the proposed scheme provides a gain of about 3 dB in Eb/N0 in AWGN channels and about 4 dB in flat fading channels over conventional equal-power allocation system. This gain is achieved without any increase in bandwidth, as opposed to that achieved with channel coding. The gains achieved with this algorithm come at the expense of slight increase in the peak-to-average power ratio of the transmitted signal
  • Keywords
    AWGN channels; channel coding; error statistics; fading channels; least mean squares methods; video coding; visual communication; wireless channels; AWGN channels; MMSE power allocation; additive white Gaussian noise; bit error probability; channel coding; fading wireless channels; image signal; image transmission; minimum mean-square error; video signal; video transmission; AWGN channels; Bandwidth; Bit error rate; Channel coding; Error probability; Fading; Land mobile radio; Peak to average power ratio; Quality of service; Wireless communication; Fading Channels; Image and Video Transmission; MMSE; Power Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on
  • Conference_Location
    Berlin
  • Print_ISBN
    9.7838007291e+012
  • Type

    conf

  • DOI
    10.1109/PIMRC.2005.1651603
  • Filename
    1651603