Early Eviction Technique for Low-Complexity Soft-Output MIMO Symbol Detection Based on Dijkstra's Algorithm

Tae-Hwan KIM  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E96-A   No.11   pp.2302-2305
Publication Date: 2013/11/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E96.A.2302
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Communication Theory and Signals
Keyword: 
multiple-input multiple-output,  soft output,  sphere decoding,  maximum-likelihood detection,  tree search,  

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Summary: 
This letter presents a technique to reduce the complexity of the soft-output multiple-input multiple-output symbol detection based on Dijkstra's algorithm. By observing that the greedy behavior of Dijkstra's algorithm can entail unnecessary tree-visits for the symbol detection, this letter proposes a technique to evict non-promising candidates early from the search space. The early eviction technique utilizes layer information to determine if a candidate is promising, which is simple but effective. When the SNR is 30dB for 6×6 64-QAM systems, the average number of tree-visits in the proposed method is reduced by 72.1% in comparison to that in the conventional Dijkstra's algorithm-based symbol detection without the early eviction.