Square-Root Generalized Eigenvalue Decomposition Processor for Leakage-Based Multi-User MIMO Precoding With Multi-Antenna Users

Multi-user multiple-input and multiple-output (MU-MIMO) precoding is an effective transmission scheme for achieving very high spectral efficiency in modern wireless communication systems. Although numerous multi-user precoder designs have been proposed over the last few decades, the signal-to-leakag...

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Vydané v:IEEE transactions on circuits and systems. I, Regular papers Ročník 66; číslo 6; s. 2382 - 2393
Hlavní autori: Lee, Ling, Chen, Chun-An, Chen, Chiao-En, Huang, Yuan-Hao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Complexity
Complexity theory
Decomposition
Eigenvalues
Eigenvalues and eigenfunctions
generalized eigenvalue decomposition
Jacobian matrices
Leakage
Matrix decomposition
Microprocessors
MIMO (control systems)
MIMO communication
Multi-user MIMO (MU-MIMO)
Precoding
square-root algorithm
Wireless communication systems
Wireless communications
ISSN:1549-8328, 1558-0806
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Abstract Multi-user multiple-input and multiple-output (MU-MIMO) precoding is an effective transmission scheme for achieving very high spectral efficiency in modern wireless communication systems. Although numerous multi-user precoder designs have been proposed over the last few decades, the signal-to-leakage-and-noise ratio (SLNR)-based precoder is known to achieve favorable performance-complexity tradeoffs. This paper presents a new generalized eigenvalue decomposition (GEVD) processor, that is, the core processing unit dominating the overall complexity in SLNR-based precoders. A low-complexity square-root algorithm is adopted to eliminate the need for matrix multiplications and matrix inversion computations, which reduces the complexity of the GEVD processor considerably. Finally, the proposed processor was designed and implemented by using a 40-nm complementary metal-oxide-semiconductor technology, which exhibited a maximum throughput rate of 1.1-M matrices/s for the MU-MIMO system.
AbstractList Multi-user multiple-input and multiple-output (MU-MIMO) precoding is an effective transmission scheme for achieving very high spectral efficiency in modern wireless communication systems. Although numerous multi-user precoder designs have been proposed over the last few decades, the signal-to-leakage-and-noise ratio (SLNR)-based precoder is known to achieve favorable performance-complexity tradeoffs. This paper presents a new generalized eigenvalue decomposition (GEVD) processor, that is, the core processing unit dominating the overall complexity in SLNR-based precoders. A low-complexity square-root algorithm is adopted to eliminate the need for matrix multiplications and matrix inversion computations, which reduces the complexity of the GEVD processor considerably. Finally, the proposed processor was designed and implemented by using a 40-nm complementary metal-oxide-semiconductor technology, which exhibited a maximum throughput rate of 1.1-M matrices/s for the MU-MIMO system.
Author Huang, Yuan-Hao
Chen, Chiao-En
Chen, Chun-An
Lee, Ling
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SubjectTerms Algorithms
Complexity
Complexity theory
Decomposition
Eigenvalues
Eigenvalues and eigenfunctions
generalized eigenvalue decomposition
Jacobian matrices
Leakage
Matrix decomposition
Microprocessors
MIMO (control systems)
MIMO communication
Multi-user MIMO (MU-MIMO)
Precoding
square-root algorithm
Wireless communication systems
Wireless communications
Title Square-Root Generalized Eigenvalue Decomposition Processor for Leakage-Based Multi-User MIMO Precoding With Multi-Antenna Users
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