Regularized channel diagonalization for multiuser MIMO downlink using a modified MMSE criterion
- Authors
- Joung, J.; Lee, Y.
- Issue Date
- Apr-2007
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Downlink; Minimum mean-square error (MMSE); Multiuser multiple-input multiple-output (MIMO); Spatial multiplexing; Zero-forcing (ZF)
- Citation
- IEEE Transactions on Signal Processing, v.55, no.4, pp 1573 - 1579
- Pages
- 7
- Journal Title
- IEEE Transactions on Signal Processing
- Volume
- 55
- Number
- 4
- Start Page
- 1573
- End Page
- 1579
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60935
- DOI
- 10.1109/TSP.2006.890825
- ISSN
- 1053-587X
1941-0476
- Abstract
- We propose a regularized channel diagonalization method for a joint transmit-receive linear optimization in the downlink of a multiuser multiple-input multiple-output (MIMO) communication system. This method is based on the use of a modified minimum mean-square error (MMSE) criterion, which employs a weighted information symbol vector for the target and signal scaling. The weights for the target are the equivalent channel gain resulting from a zero-forcing (ZF)-based MIMO channel diagonalization. A joint iterative algorithm for minimizing the mean-square error (MSE) under a total transmit power constraint is derived, and its convergence is proved. The signal-to-interference-plus-noise ratio (SINR) is analyzed and the sum rates evaluated in a computer simulation. The results demonstrate that the proposed method outperforms the existing ZF- and MMSE-based methods.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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