Iterative Multiuser Detection and Decoding

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameCommunication Theory Mini-Conference in conjunction with GLOBECOMen_US
dc.citation.firstpage106
dc.citation.lastpage111
dc.citation.locationSydney, Australiaen_US
dc.contributor.authorDas, Sumanen_US
dc.contributor.authorErkip, Elzaen_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.authorAazhang, Behnaamen_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:41:15Z
dc.date.available2007-10-31T00:41:15Z
dc.date.issued1998-11-20
dc.date.modified2003-11-10en_US
dc.date.note2001-08-27en_US
dc.date.submitted1998-11-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractAn iterative detection and decoding algorithm is explored for a convolutionally coded DS-CDMA system. The optimum decoding strategy is to consider the trellises of all the users simultaneously, but this has exponential complexity in the number of users. We use an iterative +multistage detection scheme combined with the MAP algorithm to reduce the complexity of the receiver without significant performance degradation. The simulation results show that our algorithm consistently outperforms other existing low complexity algorithms. We also provide a framework where the similarities and differences between various algorithms become transparent. Based on this framework, we make a quantitative comparison of the various schemes under investigation.en_US
dc.description.sponsorshipTexas Advanced Technology Programen_US
dc.description.sponsorshipNokiaen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationS. Das, E. Erkip, J. R. Cavallaro and B. Aazhang, "Iterative Multiuser Detection and Decoding," 1998.
dc.identifier.urihttps://hdl.handle.net/1911/19824
dc.language.isoeng
dc.subjectDS-CDMA*
dc.subjectiterative multiuser detection*
dc.subjectdecoding*
dc.subjectMAP algorithm*
dc.subject.keywordDS-CDMAen_US
dc.subject.keyworditerative multiuser detectionen_US
dc.subject.keyworddecodingen_US
dc.subject.keywordMAP algorithmen_US
dc.titleIterative Multiuser Detection and Decodingen_US
dc.typeConference paper
dc.type.dcmiText
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Das1998Nov5ITERATIVEM.PDF
Size:
181.06 KB
Format:
Adobe Portable Document Format
Collections