Abstract
This paper studies the asymptotic distribution of the output of a family of linear multiuser receivers. Every receiver in the family is a function of the channel correlation matrix of a simple form. It is proved that conditioned on almost all spreading codes, the output decision statistic of such a receiver converges to a Gaussian law in distribution as the system size goes to infinity. This set of receivers encompasses the matched filter, the MMSE receiver, the parallel interference cancelers, and many other linear receivers of interest. The normality principle solidifies the importance of the signal-to-interference ratio in the many-user analysis of linear multiuser detectors.
Original language | English (US) |
---|---|
Pages (from-to) | 307 |
Number of pages | 1 |
Journal | IEEE International Symposium on Information Theory - Proceedings |
State | Published - 2001 |
Event | 2001 IEEE International Symposium on Information Theory (ISIT 2001) - Washington, DC, United States Duration: Jun 24 2001 → Jun 29 2001 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Applied Mathematics