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
Link To Document :
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