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dc.contributor.authorRini, Stefanoen_US
dc.contributor.authorShamai Shitz), Shlomoen_US
dc.date.accessioned2019-04-02T05:58:41Z-
dc.date.available2019-04-02T05:58:41Z-
dc.date.issued2018-11-01en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TWC.2018.2866841en_US
dc.identifier.urihttp://hdl.handle.net/11536/148452-
dc.description.abstractThe Writing onto Fast Fading Dirt (WFFD) channel is investigated to study the effect of partial channel knowledge on the performance of interference pre-cancellation. The WFFD channel is the Gel'fand-Pinsker channel in which the channel output is the sum of the channel input, white Gaussian noise, and a fading-times-state term. The fading-times-state term is obtained as the product of the channel state sequence, known only at the transmitter, and a fast fading process, known only at the receiver. We consider the case of Gaussian-distributed channel states and derive an approximate characterization of capacity for different classes of fading distributions, both continuous and discrete. In particular, we prove that if the fading distribution concentrates in a sufficiently small interval, then capacity is approximately equal to the AWGN capacity times the probability of such interval. We also show that there exists a class of fading distributions for which having the transmitter treat the fading-times-state term as additional noise closely approaches capacity.en_US
dc.language.isoen_USen_US
dc.subjectGel'fand-Pinsker channelen_US
dc.subjectwriting on fading dirt channelen_US
dc.subjectfast fadingen_US
dc.subjectpartial channel side informationen_US
dc.subjectCosta pre-codingen_US
dc.subjectinterference pre-cancellationen_US
dc.titleOn Capacity of the Writing Onto Fast Fading Dirt Channelen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TWC.2018.2866841en_US
dc.identifier.journalIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSen_US
dc.citation.volume17en_US
dc.citation.spage7411en_US
dc.citation.epage7424en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000449978700022en_US
dc.citation.woscount0en_US
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