TY - JOUR
T1 - A new two-step precoding strategy for closed-loop mimo systems
AU - Lee, Heunchul
AU - Park, Seokhwan
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported in part by the Ministry of Information and Communication (MIC), Korea, under the Information Technology Research Center (ITRC) support program, supervised by the Institute of Information Technology Assessment (IITA), and in part by grant No. R01-2006-000-11112-0 from the Basic Research Program of the Korea Science and Engineering Foundation. This paper was presented in part at the IEEE Vehicular Technology Conference, Calgary, Canada, September 2008.
PY - 2009
Y1 - 2009
N2 - In this paper, we present a new precoding technique using rotation transformations for closed loop multiple-input multiple-output (MIMO) wireless systems, which does not require the singular value decomposition (SVD) operation of the channel transfer matrix and allows a simple maximum-likelihood (ML) decoding at the receiver. We divide the precoding process into two steps: orthogonalization transformation which induces orthogonality between transmitted signals and beamforming transformation which achieves diversity gain. In the proposed method, we utilize a design criterion based on the minimum Euclidean distance between the received signals and then the vector orthogonalization is connected to the vector-norm maximization. In this paper, we focus on spatial multiplexing systems transmitting two independent data streams. Compared with the SVD based schemes, the proposed approach maintains a low complexity by relying only on three different kinds of rotation matrices for both the orthogonalization and beamforming transformation. Simulation results confirm that the proposed two step precoding achieves the better performance than the conventional SVD based MIMO precodings with reduced complexity.
AB - In this paper, we present a new precoding technique using rotation transformations for closed loop multiple-input multiple-output (MIMO) wireless systems, which does not require the singular value decomposition (SVD) operation of the channel transfer matrix and allows a simple maximum-likelihood (ML) decoding at the receiver. We divide the precoding process into two steps: orthogonalization transformation which induces orthogonality between transmitted signals and beamforming transformation which achieves diversity gain. In the proposed method, we utilize a design criterion based on the minimum Euclidean distance between the received signals and then the vector orthogonalization is connected to the vector-norm maximization. In this paper, we focus on spatial multiplexing systems transmitting two independent data streams. Compared with the SVD based schemes, the proposed approach maintains a low complexity by relying only on three different kinds of rotation matrices for both the orthogonalization and beamforming transformation. Simulation results confirm that the proposed two step precoding achieves the better performance than the conventional SVD based MIMO precodings with reduced complexity.
KW - Closed-loop systems
KW - MIMO systems
KW - Maximum likelihood detection (MLD)
KW - Space division multiplexing (SDM)
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U2 - 10.1109/TCOMM.2009.03.060633
DO - 10.1109/TCOMM.2009.03.060633
M3 - Article
AN - SCOPUS:63649143921
VL - 57
SP - 861
EP - 870
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 0090-6778
IS - 3
ER -