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dc.contributor.authorRini, Stefanoen_US
dc.contributor.authorShamai (Shitz), Shlomoen_US
dc.date.accessioned2018-08-21T05:54:32Z-
dc.date.available2018-08-21T05:54:32Z-
dc.date.issued2017-09-01en_US
dc.identifier.issn0018-9448en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TIT.2017.2708112en_US
dc.identifier.urihttp://hdl.handle.net/11536/146081-
dc.description.abstractThe "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: 1) the state sequences are independent and identically distributed; and 2) 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 3 bits per channel use for any number of possible state realizations. In the second scenario, we derive capacity to within 4 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.en_US
dc.language.isoen_USen_US
dc.subjectGel'fand-Pinsker channelen_US
dc.subjectcompound state-dependent channelen_US
dc.subjectcompound channels with side information at the transmitteren_US
dc.subjectcarbon copying onto dirty paperen_US
dc.subjectquasi-static fadingen_US
dc.subjectcosta pre-codingen_US
dc.titleOn the Capacity of the Carbon Copy onto Dirty Paper Channelen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TIT.2017.2708112en_US
dc.identifier.journalIEEE TRANSACTIONS ON INFORMATION THEORYen_US
dc.citation.volume63en_US
dc.citation.spage5907en_US
dc.citation.epage5922en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000411016000029en_US
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