BROWSE
Detail
Journal Article
Efficient Multi-User MIMO Precoding Based on GSVD and Vector Perturbation
Cited 8 time in 
Share 
Share
- Authors
- Jaehyun Park, Joohwan Chun, Byung Jang Jeong
- Issue Date
- 2012-02
- Citation
- Signal Processing, v.92, no.2, pp.611-615
- ISSN
- 0165-1684
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- Abstract
- We present an efficient precoding method by using generalized singular value decomposition (GSVD) and vector perturbation in the downlink of multi-user MIMO. Linear precoding/decoding matrices are explicitly computed through the GSVD algorithm, avoiding any matrix inversion or squaring operation. Accordingly, the computational complexity can be drastically reduced compared to the conventional iterative algorithms. In addition, by considering the inter-user interference, we derive a new perturbation vector that minimizes system-wide mean-squared-error of detected symbols. We also show that the proposed precoding scheme is suitable to update the precoding weights efficiently when the channel is newly updated, rather than recomputing the precoding weights for all users from scratch. © 2011 Elsevier B.V. All Rights Reserved.
- KSP Keywords
- Computational complexity, Generalized Singular Value Decomposition(GSVD), Linear precoding, MIMO precoding, Matrix Inversion, Vector Perturbation, inter-user interference(IUI), iterative algorithms, mean square error(MSE), multiuser MIMO, precoding scheme