DocumentCode
2479745
Title
Error probability bound for reduced complexity multiuser decoding using orthogonal decomposability
Author
Fain, Eric A. ; Varanasi, Mahesh K.
Author_Institution
Dept. of Electr. Eng., Colorado Univ., Boulder, CO, USA
fYear
1998
fDate
16-21 Aug 1998
Firstpage
341
Abstract
We develop an upper bound on the error probability of the reduced-complexity group-metric multiuser convolutional decoder. This error bound results from discarding a class of redundant error sequences which are orthogonally decomposable. Indecomposable sequences for uncoded multiuser detection were introduced previously for the non-fading channel, and their enumeration is computationally intensive. By restricting attention to orthogonally decomposable error sequences for the fading channel, we can characterize sequences whose decomposability is independent of the fading parameters. Furthermore, we can easily compute this bound by evaluating the generating function of the encoder of the user in question
Keywords
computational complexity; convolutional codes; decoding; error statistics; fading channels; multiuser channels; sequences; encoder; error probability bound; fading channel; fading parameters; generating function; group-metric multiuser convolutional decoder; orthogonal decomposability; orthogonally decomposable error sequences; reduced complexity multiuser decoding; redundant error sequences; uncoded multiuser detection; upper bound; Character generation; Convolutional codes; Decoding; Error correction; Error probability; Fading; Matched filters; Propagation losses; Rayleigh channels; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-5000-6
Type
conf
DOI
10.1109/ISIT.1998.708946
Filename
708946
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