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On the Capacity of the Carbon Copy onto Dirty Paper Channel
- Publication Year :
- 2017
- Publisher :
- arXiv, 2017.
-
Abstract
- The "Carbon Copy onto Dirty Paper" (CCDP) channel is the compound "writing on dirty paper" channel in which the channel output is obtained as the sum of the channel input, white Gaussian noise and a Gaussian state sequence randomly selected among a set possible realizations. The transmitter has non-causal knowledge of the set of possible state sequences but does not know which sequence is selected to produce the channel output. We study the capacity of the CCDP channel for two scenarios: (i) the state sequences are independent and identically distributed, and (ii) the state sequences are scaled versions of the same sequence. In the first scenario, we show that a combination of superposition coding, time-sharing and Gel'fand-Pinsker binning is sufficient to approach the capacity to within three bits per channel use for any number of possible state realizations. In the second scenario, we derive capacity to within four bits-per-channel-use for the case of two possible state sequences. This result is extended to the CCDP channel with any number of possible state sequences under certain conditions on the scaling parameters which we denote as "strong fading" regime. We conclude by providing some remarks on the capacity of the CCDP channel in which the state sequences have any jointly Gaussian distribution.
- Subjects :
- Independent and identically distributed random variables
FOS: Computer and information sciences
Computer Science - Information Theory
02 engineering and technology
Library and Information Sciences
01 natural sciences
Precoding
010305 fluids & plasmas
Channel capacity
symbols.namesake
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Fading
Mathematics
Channel use
Computer Science::Information Theory
business.industry
Information Theory (cs.IT)
020206 networking & telecommunications
Computer Science Applications
Additive white Gaussian noise
Gaussian noise
symbols
Telecommunications
business
Algorithm
Information Systems
Communication channel
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....925ee1a090222925b51ef44fbf1e9085
- Full Text :
- https://doi.org/10.48550/arxiv.1707.02398