A List Sphere Decoding Algorithm with Improved Radius Setting Strategies

Complexity of different sphere-decoding (SD) algorithms is heavily influenced by their own distinctive computational features. Sphere radius setting for initialization and reduction during the search process, is one of the most important aspects affecting the SD efficiency. This paper examines radiu...

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Published in:	Wireless personal communications Vol. 61; no. 1; pp. 189 - 200
Main Authors:	Wang, Ping, Le-Ngoc, Tho
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.11.2011
Subjects:	Communications Engineering Computer Communication Networks Engineering Networks Signal,Image and Speech Processing Maximum-likelihood (ML) List Sphere Decoding (LSD) MIMO Sphere decoding (SD) Integer Least-square (ILS)
ISSN:	0929-6212, 1572-834X
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Abstract	Complexity of different sphere-decoding (SD) algorithms is heavily influenced by their own distinctive computational features. Sphere radius setting for initialization and reduction during the search process, is one of the most important aspects affecting the SD efficiency. This paper examines radius setting strategies for list sphere-decoding (LSD) algorithms to calculate the soft-output information for coded systems, and proposes strategies to improve both the radius initialization and reduction in the original LSD algorithm. The proposed strategies can avoid the instability problem in the radius initialization of the original LSD algorithm and significantly increase its search efficiency as confirmed by simulation for both full-column-rank and underdetermined MIMO channels.
AbstractList	Complexity of different sphere-decoding (SD) algorithms is heavily influenced by their own distinctive computational features. Sphere radius setting for initialization and reduction during the search process, is one of the most important aspects affecting the SD efficiency. This paper examines radius setting strategies for list sphere-decoding (LSD) algorithms to calculate the soft-output information for coded systems, and proposes strategies to improve both the radius initialization and reduction in the original LSD algorithm. The proposed strategies can avoid the instability problem in the radius initialization of the original LSD algorithm and significantly increase its search efficiency as confirmed by simulation for both full-column-rank and underdetermined MIMO channels.
Author	Le-Ngoc, Tho Wang, Ping
Author_xml	– sequence: 1 givenname: Ping surname: Wang fullname: Wang, Ping organization: Department of Electrical and Computer Engineering, McGill University – sequence: 2 givenname: Tho surname: Le-Ngoc fullname: Le-Ngoc, Tho email: tho@ece.mcgill.ca organization: Department of Electrical and Computer Engineering, McGill University
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Keywords	Maximum-likelihood (ML) List Sphere Decoding (LSD) MIMO Sphere decoding (SD) Integer Least-square (ILS)
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SubjectTerms	Communications Engineering Computer Communication Networks Engineering Networks Signal,Image and Speech Processing
Title	A List Sphere Decoding Algorithm with Improved Radius Setting Strategies
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