• DocumentCode
    3501983
  • Title

    Joint source-channel coding with correlated interference

  • Author

    Huang, Yu-Chih ; Narayanan, Krishna R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    1136
  • Lastpage
    1140
  • Abstract
    In this paper, we study the joint source-channel coding problem of transmitting a discrete-time analog source over an additive white Gaussian noise (AWGN) channel with interference known at transmitter. We consider the case when the source and the interference are correlated. We first derive an outer bound on the achievable distortion and then, we propose two joint source-channel coding schemes to make use of the correlation between the source and the interference. The first scheme is the superposition of the uncoded signal and a digital part which is the concatenation of a Wyner-Ziv encoder and a dirty paper encoder. In the second scheme, the digital part is replaced by a hybrid digital and analog scheme so that the proposed scheme can provide graceful degradation in the presence of (signal-to-noise ratio) SNR mismatch. Interestingly, unlike the independent interference setup, we show that neither of both schemes outperform the other universally in the presence of SNR mismatch.
  • Keywords
    AWGN channels; cognitive radio; combined source-channel coding; concatenated codes; radiofrequency interference; AWGN channel; SNR mismatch; Wyner-Ziv encoder; additive white Gaussian noise channel; cognitive radios; concatenated codes; correlated interference; dirty paper encoder; discrete-time analog source transmission; independent interference setup; joint source-channel coding problem; outer bound; signal-to-noise ratio; transmitter; Decoding; Encoding; Interference; Joints; Reliability; Resource management; Signal to noise ratio; Distortion region; cognitive radios; joint source-channel coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6033709
  • Filename
    6033709