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A Review of Fixed-Complexity Vector Perturbation for MU-MIMO
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논문 기본 정보

Type
Academic journal
Author
Journal
한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제11권 제3호 KCI Accredited Journals
Published
2015.1
Pages
354 - 369 (16page)

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A Review of Fixed-Complexity Vector Perturbation for MU-MIMO
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Abstract· Keywords

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Recently, there has been an increasing demand of high data rates services, where several multiuser multipleinput multiple-output (MU-MIMO) techniques were introduced to meet these demands. Among these techniques, vector perturbation combined with linear precoding techniques, such as zero-forcing and minimum mean-square error, have been proven to be efficient in reducing the transmit power and hence, perform close to the optimum algorithm. In this paper, we review several fixed-complexity vector perturbation techniques and investigate their performance under both perfect and imperfect channel knowledge at the transmitter. Also, we investigate the combination of block diagonalization with vector perturbation outline its merits.
#Block Diagonalization #MU-MIMO #Perfect and Imperfect Channel Knowledge #Quantization #Vector Perturbation

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References (22)

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A. K. Lenstra / 1982 / Factoring polynomials with rational coefficients / Mathematische Annalen 261 (4) : 515 ~ 534 google schola B. M. Hochwald / 2005 / A vector-perturbation technique for near-capacity multiantenna multiuser communication. Part II : Perturbation / IEEE Transactions on Communications google schola C. B. Peel / 2005 / A vector-perturbation technique for near-capacity multiantenna multiuser communication. Part I : Channel inversion and regularization / IEEE Transactions google schola C. Windpassinger / 2003 / Low complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction / Proceedings of 2003 IEEE Information Theory Work google schola H. Harashima / 1972 / Matched-transmission technique for channels with intersymbol interference / IEEE Transactions on Communications 20 (4) : 774 ~ 780 google schola

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