• DocumentCode
    1302311
  • Title

    Precoding for the AWGN Channel With Discrete Interference

  • Author

    Farmanbar, Hamid ; Khandani, Amir K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    55
  • Issue
    9
  • fYear
    2009
  • Firstpage
    4019
  • Lastpage
    4032
  • Abstract
    For a state-dependent discrete memoryless channel with input alphabet X, state alphabet S, and output alphabet Y where the independent and identically distributed (i.i.d.) state sequence is known causally at the transmitter, it is shown that by using at most min{|X||S|-|S| + 1,|Y|} out of |X||S| inputs of the Shannon´s derived channel, the capacity is achievable. As an example of state-dependent channels with side information at the transmitter, M-ary signal transmission for the additive white Gaussian noise (AWGN) channel with additive Q-ary interference where the sequence of i.i.d. interference symbols is known causally at the transmitter is considered. The optimal precoding scheme is derived under the constraint that the channel input given any current interference symbol is uniformly distributed over the channel input alphabet. It is shown that at low signal-to-noise ratio (SNR) not doing precoding is optimal. For the special case where the Gaussian noise power is zero, it is shown that the rate log2 M is achievable by a one-shot coding scheme if X is an arithmetic progression.
  • Keywords
    AWGN channels; channel capacity; channel coding; interference (signal); precoding; AWGN channel; M-ary signal transmission; additive Q-ary interference; additive white Gaussian noise channel; discrete interference; independent and identically distributed state sequence; interference symbols; optimal precoding scheme; signal-to-noise ratio; state-dependent discrete memoryless channel; AWGN channels; Additive noise; Additive white noise; Arithmetic; Channel capacity; Gaussian noise; Interference constraints; Memoryless systems; Signal to noise ratio; Transmitters; Causal side information; channel capacity; integer programming; interference; linear programming; precoding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2009.2025554
  • Filename
    5208470