NDLI: On Coding With a Partial Knowledge of the State Information

Content Provider	IEEE Xplore Digital Library
Author	Zaidi, A. Duhamel, P.
Copyright Year	2005
Description	Author affiliation: Laboratoire des Signaux et Syst., SUPELEC, Gif-sur-Yvette (Zaidi, A.; Duhamel, P.)
Abstract	In some situations of channel coding with state information (CCSI) available at the transmitter, the encoder may not have perfect knowledge of the state information. In these situations, the state information may be viewed as the sum of a dominant (nominal) state information and a relatively weak perturbation. We analyze the decrease in capacity, or sensitivity of channel capacity to this perturbing noise. We first address the decrease in Gelfand-Pinsker capacity due to the situation and use Fisher information to give both lower and upper bounds on channel sensitivity. These bounds translate to upper and lower bounds on channel capacity, respectively. We also provide closed form expression of channel sensitivity in the Gaussian case and discuss the practical usefulness of the above bounds. For instance, we show that under certain conditions, the encoder should adapt to the available knowledge of the channel by changing its encoding strategy. Next, we show that these results can be straightforwardly extended to the general vector channel case and to the case when the state information is known only causally. Finally, for illustration purposes we give two possible applications in the non-causal and the causal case, respectively
Starting Page	657
Ending Page	661
File Size	420009
Page Count	5
File Format	PDF
ISBN	1424401313
ISSN	10586393
DOI	10.1109/ACSSC.2005.1599832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel capacity Fading Channel coding Upper bound Memoryless systems Additive noise Interference Auxiliary transmitters Random variables Uncertainty
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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