Name
Title | ||
|---|---|---|
Channel-Based Multi-Dimensional Set Partitioning for MIMO Reduced-State Sequence Estimation |
Abstract | ||
|---|---|---|
A multi-dimensional set partitioning (MDSP) is proposed for reduced-state sequence estimation of multi-path fading multiple input multiple output (MIMO) channels. The proposed MDSP takes channel state information into account when making a set partition because MIMO channels change the distance between symbol vectors in a multi-dimensional constellation. To reduce complexity of the proposed MDSP, we propose an efficient MDSP algorithm which exploits only typical error vectors for partitioning. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/LCOMM.2010.081910.100885 | IEEE Communications Letters |
Keywords | Field | DocType |
MIMO,Complexity theory,Maximum likelihood estimation,Partitioning algorithms,Bit error rate,Receivers | Mathematical optimization,Computer science,Fading,MIMO,Algorithm,Real-time computing,Partition of a set,Reduction (complexity),MDSP,Maximum likelihood sequence estimation,Channel state information,Bit error rate | Journal |
Volume | Issue | ISSN |
14 | 10 | 1089-7798 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Myoung-Seok Kim | 1 | 20 | 3.37 |
| Jaesang Ham | 2 | 30 | 5.42 |
| Chungyong Lee | 3 | 294 | 53.52 |