S²MMSE Precoding for Multiuser MIMO Broadcast Channels 


Vol. 33,  No. 12, pp. 1185-1190, Dec.  2008


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  Abstract

In this paper, we propose an simplified successive minimum mean square error (S2MMSE) algorithm that can simplify the computational complexity for precoding matrix generation in the successive minimum mean square error (SMMSE) precoding method, which is adopted as a multiuser multiple-input multiple-output (MU-MIMO) precoding technique in the IST (information society technologies)-WINNER (wireless world initiative new radio) project. The original algorithm generates the precoding matrix by calculating all individual precoding vectors with each requiring its own MMSE nulling matrix, over all receive antennas for all users. In contrast, this proposed algorithm first calculates the MMSE nulling matrix for each user, and then calculates all precoding vectors for respective receive antennas of the corresponding user by using the identical MMSE nulling matrix, in which only a simple matrix-vector multiplication is required for each vector. Consequently, it can simplify significantly the computational complexity to generate a precoding matrix for SMMSE precoding.

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  Cite this article

[IEEE Style]

M. Lee and S. K. Oh, "S²MMSE Precoding for Multiuser MIMO Broadcast Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 12, pp. 1185-1190, 2008. DOI: .

[ACM Style]

Min Lee and Seong Keun Oh. 2008. S²MMSE Precoding for Multiuser MIMO Broadcast Channels. The Journal of Korean Institute of Communications and Information Sciences, 33, 12, (2008), 1185-1190. DOI: .

[KICS Style]

Min Lee and Seong Keun Oh, "S²MMSE Precoding for Multiuser MIMO Broadcast Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 12, pp. 1185-1190, 12. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880