Computer Science – Information Theory
Scientific paper
2012-02-22
Computer Science
Information Theory
21 pages, 4 figures
Scientific paper
In downlink multiuser multiple-input multiple-output (MIMO) systems, block diagonalization (BD) is a practical linear precoding scheme which achieves the same degrees of freedom (DoF) as the optimal linear/nonlinear precoding schemes. However, its sum-rate performance is rather poor in the practical SNR regime due to the transmit power boost problem. In this paper, we propose an improved linear precoding scheme over BD with a so-called "effective-SNR-enhancement" technique. The transmit covariance matrices are obtained by firstly solving a power minimization problem subject to the minimum rate constraint achieved by BD, and then properly scaling the solution to satisfy the power constraints. It is proved that such approach equivalently enhances the system SNR, and hence compensates the transmit power boost problem associated with BD. The power minimization problem is in general non-convex. We therefore propose an efficient algorithm that solves the problem heuristically. Simulation results show significant sum rate gains over the optimal BD and the existing minimum mean square error (MMSE) based precoding schemes.
Guan Yong Liang
Gunawan Erry
Zeng Yong
No associations
LandOfFree
Improved Linear Precoding over Block Diagonalization in Multi-cell Cooperative Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Improved Linear Precoding over Block Diagonalization in Multi-cell Cooperative Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improved Linear Precoding over Block Diagonalization in Multi-cell Cooperative Networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-414810