DocumentCode
3044939
Title
Asymptotically optimum multiuser decision feedback detection
Author
Varanasi, Mahesh K.
Author_Institution
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
275
Abstract
The optimum decision feedback multiuser detection rule was obtained in Varanasi (1997) for the joint detection of K simultaneously transmitting users in a synchronous Gaussian correlated waveform multiple access (CWMA) channel. The measure of optimality considered there was the asymptotic symmetric (worst-case over users) effective energy. The resulting optimum decision feedback detector (ODFD) is characterized by a feedforward-feedback matrix pair and requires K additions and K multiplications per user after matched filtering for its implementation. In this paper, it is shown that in addition to its optimality in asymptotic symmetric effective energy, the ODFD can, under certain conditions, achieve optimum asymptotic effective energy for every user, thereby matching the asymptotic efficiency performance of the exponentially complex maximum likelihood detector for all users simultaneously. In proving this result, it is not assumed that interference cancellation is perfect
Keywords
Gaussian channels; correlation theory; feedback; matched filters; multi-access systems; signal detection; ODFD; additions; asymptotic efficiency performance; asymptotic symmetric effective energy; asymptotically optimum multiuser decision feedback detection; feedforward-feedback matrix pair; interference cancellation; matched filtering; multiplications; optimality; optimum asymptotic effective energy; optimum decision feedback detector; simultaneously transmitting users; synchronous Gaussian correlated waveform multiple access channel; worst-case; Covariance matrix; Decorrelation; Energy measurement; Feedback; Gas detectors; Interference cancellation; Matched filters; Maximum likelihood detection; Sufficient conditions; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613193
Filename
613193
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