Soft MIMO ML demodulation based on bitwise constellation partitioning

Jungwon Lee; Ji Woong Choi; Hui Ling Lou; Jongsun Park

doi:10.1109/LCOMM.2009.091320

Soft MIMO ML demodulation based on bitwise constellation partitioning

Jungwon Lee, Ji Woong Choi, Hui Ling Lou, Jongsun Park

Department of Electrical Engineering and Computer Science

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

9 Scopus citations

Abstract

In this letter, we propose a soft-decoding ML MIMO demodulation method that lowers the complexity of the existing ML method. The proposed method finds the nearest point without calculating the Euclidean distance by exploiting the regular structure of bit-to-symbol mapping. It enables significant reduction of the number of distance calculations which is a major complexity burden.

Original language	English
Pages (from-to)	736-738
Number of pages	3
Journal	IEEE Communications Letters
Volume	13
Issue number	10
DOIs	https://doi.org/10.1109/LCOMM.2009.091320
State	Published - 2009

Keywords

MIMO spatial multiplexing
Maximum likelihood demodulation
Soft-decision decoding

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10.1109/LCOMM.2009.091320

Cite this

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title = "Soft MIMO ML demodulation based on bitwise constellation partitioning",

abstract = "In this letter, we propose a soft-decoding ML MIMO demodulation method that lowers the complexity of the existing ML method. The proposed method finds the nearest point without calculating the Euclidean distance by exploiting the regular structure of bit-to-symbol mapping. It enables significant reduction of the number of distance calculations which is a major complexity burden.",

keywords = "MIMO spatial multiplexing, Maximum likelihood demodulation, Soft-decision decoding",

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year = "2009",

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AU - Lee, Jungwon

AU - Choi, Ji Woong

AU - Lou, Hui Ling

AU - Park, Jongsun

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Y1 - 2009

N2 - In this letter, we propose a soft-decoding ML MIMO demodulation method that lowers the complexity of the existing ML method. The proposed method finds the nearest point without calculating the Euclidean distance by exploiting the regular structure of bit-to-symbol mapping. It enables significant reduction of the number of distance calculations which is a major complexity burden.

AB - In this letter, we propose a soft-decoding ML MIMO demodulation method that lowers the complexity of the existing ML method. The proposed method finds the nearest point without calculating the Euclidean distance by exploiting the regular structure of bit-to-symbol mapping. It enables significant reduction of the number of distance calculations which is a major complexity burden.

KW - MIMO spatial multiplexing

KW - Maximum likelihood demodulation

KW - Soft-decision decoding

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DO - 10.1109/LCOMM.2009.091320

M3 - Article

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SN - 1089-7798

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SP - 736

EP - 738

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 10

ER -

Soft MIMO ML demodulation based on bitwise constellation partitioning

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Keywords

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