DocumentCode :
1108020
Title :
Entropy Amplification Property and the Loss for Writing on Dirty Paper
Author :
Cohen, Aaron S. ; Zamir, Ram
Author_Institution :
Brown Univ., Providence
Volume :
54
Issue :
4
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
1477
Lastpage :
1487
Abstract :
Costa´s celebrated ldquowriting on dirty paperrdquo (WDP) shows that the power-constrained channel Y=X+S+Z, with Gaussian Z, has the same capacity as the standard AWGN channel Y=X+Z, provided that the ldquointerferencerdquo S (no matter how strong it is) is known at the transmitter. While this ability for perfect interference cancelation is very appealing, it relies heavily on the Gaussianity of the (unknown) noise Z. We construct an example of ldquobadrdquo noise for writing on dirty paper, namely, ldquodifference set noiserdquo. If the interference S is strong, then difference-set noise limits the WDP capacity to at most 2 bits. At the same time, like in the AWGN case, the zero-interference capacity grows without bound with the input constraint. Thus almost 100% of the available capacity is lost in WDP in the presence of difference-set noise. This high capacity loss is due to the ldquoentropy amplification propertyrdquo (EAP) of noise with an aperiodic probability distribution. Using the EAP and the duality between WDP and Wyner-Ziv source coding, we also give an example of dramatic rate-loss in quantizing encrypted source.
Keywords :
AWGN channels; amplification; entropy; interference (signal); transmitters; Gaussian Z; bad noise; difference-set noise; entropy amplification property; interference S; interference cancelation; power-constrained channel; probability distribution; quantizing encrypted source; transmitter; writing on dirty paper; AWGN channels; Additive white noise; Capacity planning; Entropy; Gaussian noise; Interference cancellation; Interference constraints; Noise cancellation; Transmitters; Writing; Difference sets; Wyner–Ziv seup; side information; writing on dirty paper (WDP);
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2008.917675
Filename :
4475361
Link To Document :
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