Name
Title | ||
|---|---|---|
A Hybrid ML Decoding Scheme for Multiple Input Multiple Output Signals on Partitioned Tree |
Abstract | ||
|---|---|---|
In this paper, we propose a novel ML decoding scheme based on the combination of depth- and breadth-first search methods on a partitioned tree for multiple input multiple output (MIMO) systems. The proposed scheme first partitions the searching tree into several stages, each of which is then searched by a depth- or breadth-first search method, maximally exploiting the advantages of both the depth- and breadth-first search methods. Numerical results indicate that, when the depth- and breadth-first search algorithms are adopted appropriately, the proposed scheme exhibits substantially lower computational complexity than conventional ML decoders while maintaining the ML bit error performance. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/VETECF.2008.94 | VTC Fall |
Keywords | Field | DocType |
maximum likelihood decoding,hybrid ml decoding scheme,tree searching,partitioned tree,breadth-first search methods,computational complexity,multiple input multiple output signals,mimo communication,search algorithms,depth-first search methods,mimo,decoding,bit error rate,signal to noise ratio,breadth first search | Search algorithm,Computer science,Signal-to-noise ratio,Algorithm,MIMO,Electronic engineering,Theoretical computer science,Decoding methods,Mimo communication,Computational complexity theory,Bit error rate | Conference |
ISSN | ISBN | Citations |
1090-3038 E-ISBN : 978-1-4244-1722-3 | 978-1-4244-1722-3 | 0 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jongho Oh | 1 | 15 | 2.07 |
| Iickho Song | 2 | 558 | 85.31 |
| Juho Park | 3 | 54 | 4.46 |
| Min A. Jeong | 4 | 0 | 1.35 |
| Myeong Soo Choi | 5 | 0 | 0.68 |