An optimal zero-forcing PIC group decoding for two-user layered Alamouti code

Guoquan Li; Xiang Gen Xia; Yucheng Wu

doi:10.1109/TCOMM.2011.091911.100256A

An optimal zero-forcing PIC group decoding for two-user layered Alamouti code

Guoquan Li^*, Xiang Gen Xia, Yucheng Wu

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

The decoding complexity of the layered Alamouti code with the maximum-likelihood (ML) receiver is high. Partial interference cancellation (PIC) group decoding is an attractive method to reduce the ML decoding complexity. However, different grouping schemes for the PIC group decoding may have different performances. In this letter, by fully taking advantage of the Alamouti code structure, we analytically calculate the power gains of the information symbols after the PIC for a grouping scheme, where the zero-forcing (ZF) operator is used for the PIC. We then propose an optimal grouping scheme for the PIC group decoding by proposing a criterion to choose the grouping schemes adaptively so that the power gains of the information symbols are maximized after the PIC.

Original language	English
Article number	6029346
Pages (from-to)	3290-3293
Number of pages	4
Journal	IEEE Transactions on Communications
Volume	59
Issue number	12
DOIs	https://doi.org/10.1109/TCOMM.2011.091911.100256A
Publication status	Published - Dec 2011
Externally published	Yes

Keywords

Layered Alamouti code
group decoding
partial interference cancellation (PIC)
two-user MIMO systems

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10.1109/TCOMM.2011.091911.100256A

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title = "An optimal zero-forcing PIC group decoding for two-user layered Alamouti code",

abstract = "The decoding complexity of the layered Alamouti code with the maximum-likelihood (ML) receiver is high. Partial interference cancellation (PIC) group decoding is an attractive method to reduce the ML decoding complexity. However, different grouping schemes for the PIC group decoding may have different performances. In this letter, by fully taking advantage of the Alamouti code structure, we analytically calculate the power gains of the information symbols after the PIC for a grouping scheme, where the zero-forcing (ZF) operator is used for the PIC. We then propose an optimal grouping scheme for the PIC group decoding by proposing a criterion to choose the grouping schemes adaptively so that the power gains of the information symbols are maximized after the PIC.",

keywords = "Layered Alamouti code, group decoding, partial interference cancellation (PIC), two-user MIMO systems",

author = "Guoquan Li and Xia, {Xiang Gen} and Yucheng Wu",

year = "2011",

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doi = "10.1109/TCOMM.2011.091911.100256A",

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AU - Li, Guoquan

AU - Xia, Xiang Gen

AU - Wu, Yucheng

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N2 - The decoding complexity of the layered Alamouti code with the maximum-likelihood (ML) receiver is high. Partial interference cancellation (PIC) group decoding is an attractive method to reduce the ML decoding complexity. However, different grouping schemes for the PIC group decoding may have different performances. In this letter, by fully taking advantage of the Alamouti code structure, we analytically calculate the power gains of the information symbols after the PIC for a grouping scheme, where the zero-forcing (ZF) operator is used for the PIC. We then propose an optimal grouping scheme for the PIC group decoding by proposing a criterion to choose the grouping schemes adaptively so that the power gains of the information symbols are maximized after the PIC.

AB - The decoding complexity of the layered Alamouti code with the maximum-likelihood (ML) receiver is high. Partial interference cancellation (PIC) group decoding is an attractive method to reduce the ML decoding complexity. However, different grouping schemes for the PIC group decoding may have different performances. In this letter, by fully taking advantage of the Alamouti code structure, we analytically calculate the power gains of the information symbols after the PIC for a grouping scheme, where the zero-forcing (ZF) operator is used for the PIC. We then propose an optimal grouping scheme for the PIC group decoding by proposing a criterion to choose the grouping schemes adaptively so that the power gains of the information symbols are maximized after the PIC.

KW - Layered Alamouti code

KW - group decoding

KW - partial interference cancellation (PIC)

KW - two-user MIMO systems

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JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

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An optimal zero-forcing PIC group decoding for two-user layered Alamouti code

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