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Ergodic interference alignment with noisy channel state information
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Tongji University, P.R. China.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2013 (English)In: 2013 IEEE International Symposium on Information Theory Proceedings (ISIT), IEEE conference proceedings, 2013, 584-588 p.Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the multi-user time-varying Gaussian interference channel (IC) in which each source desires to communicate to an intended destination. For the ergodic time-varying IC with global perfect CSI at all terminals, it is known that with an interference alignment technique each source-destinationpair can communicate at half of the interference-free achievable rate. In practice, the channel gains are estimated by transmitting known pilot symbols from the sources, and the channel estimation procedure is hence prone to errors. In this paper, we model the channel estimation error at the destinations by an independent additive Gaussian noise and study the behavior of the ergodic interference alignment scheme with the global noisy CSI at all terminals. Toward this end, we present a closed-form innerbound on the achievable rate region by which we conclude that the achievable degrees of freedom with global perfect CSI is preserved, if the variance of channel estimation error is proportional to the inverse of the transmitted power.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 584-588 p.
Keyword [en]
Wireless communication, interference networks, interference alignment
National Category
Communication Systems Telecommunications Signal Processing
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-121338DOI: 10.1109/ISIT.2013.6620293ISI: 000348913400118Scopus ID: 2-s2.0-84890350486ISBN: 978-147990446-4 (print)OAI: oai:DiVA.org:kth-121338DiVA: diva2:618480
Conference
ISIT 2013 IEEE International Symposium on Information Theory; Istanbul, Turkey, 7-12 July 2013
Note

QC 20130827

Available from: 2013-04-28 Created: 2013-04-28 Last updated: 2015-12-04Bibliographically approved

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