Random matrix theory and wireless communications
Communications and Information Theory
On the performance of O3BPSK LDD with diversity combining techniques over fading channels
Computer Communications
Consistent reduced-rank LMMSE estimation with a limited number of samples per observation dimension
IEEE Transactions on Signal Processing
Generalized consistent estimation on low-rank Krylov subspaces of arbitrarily high dimension
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
A central limit theorem for the SINR at the LMMSE estimator output for large-dimensional signals
IEEE Transactions on Information Theory
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Asynchronous CDMA systems with random spreading-part I: fundamental limits
IEEE Transactions on Information Theory
Asynchronous CDMA systems with random spreading-part II: design criteria
IEEE Transactions on Information Theory
| Hi-index | 755.08 |
Reduced-rank minimum mean-squared error (MMSE) multiuser detectors using asymptotic weights have been shown to reduce receiver complexity while maintaining good performance in long-sequence code-division multiple-access (CDMA) systems. In this paper, we consider the design of reduced-rank MMSE receivers in a general framework which includes fading, single and multiantenna receivers, as well as direct-sequence CDMA (DS-CDMA) and multicarrier CDMA (both uplink and downlink). In all these cases, random matrix results are used to obtain explicit expressions for the asymptotic eigenvalue moments of the interference autocorrelation matrix and for the asymptotic weights used in the reduced-rank receiver.