DocumentCode
1558262
Title
A* Algorithm Inspired Memory-Efficient Detection for MIMO Systems
Author
Chang, Ronald Y. ; Chung, Wei-Ho ; Lin, Sian-Jheng
Author_Institution
Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
Volume
1
Issue
5
fYear
2012
fDate
10/1/2012 12:00:00 AM
Firstpage
508
Lastpage
511
Abstract
Implementation of a best-first detection algorithm for multiple-input multiple-output (MIMO) systems requires large amounts of memory especially in large systems with high-order modulation. In this letter, we propose modified best-first detection algorithms in which the order of nodes is determined by both the original cost and the estimated future cost associated with each node, as inspired by an improved shortest path algorithm (A* algorithm). The modified algorithms maintain the detection optimality, reduce the memory requirement and sorting complexity, and achieve improved detection performance in memory-constrained scenarios.
Keywords
MIMO communication; MIMO systems; high-order modulation; improved shortest path algorithm; memory-constrained scenarios; memory-efficient detection; modified best-first detection algorithms; multiple-input multiple-output systems; Complexity theory; MIMO; Measurement; Memory management; Signal processing algorithms; Signal to noise ratio; Vectors; A* algorithm; Dijkstra's algorithm; Maximum likelihood (ML) decoding; memory efficiency; multiple-input multiple-output (MIMO) systems; tree-search detection;
fLanguage
English
Journal_Title
Wireless Communications Letters, IEEE
Publisher
ieee
ISSN
2162-2337
Type
jour
DOI
10.1109/WCL.2012.071612.120450
Filename
6243124
Link To Document