For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Efficient Pruning for Infinity-Norm Sphere Decoding Based on Schnorr-Euchner Enumeration
Tae-Hwan KIM In-Cheol PARK
IEICE TRANSACTIONS on Communications
Publication Date: 2011/09/01
Online ISSN: 1745-1345
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
multiple-input multiple-output, maximum-likelihood detection, sphere decoding, tree search, infinity norm,
Full Text: PDF(675.4KB)
>>Buy this Article
An efficient pruning method is proposed for the infinity-norm sphere decoding based on Schnorr-Euchner enumeration in multiple-input multiple-output spatial multiplexing systems. The proposed method is based on the characteristics of the infinity norm, and utilizes the information of the layer at which the infinity-norm value is selected in order to decide unnecessary sub-trees that can be pruned without affecting error-rate performance. Compared to conventional pruning, the proposed pruning decreases the average number of tree-visits by up to 37.16% in 44 16-QAM systems and 33.75% in 66 64-QAM systems.