Name
Abstract | ||
|---|---|---|
Suboptimal detection schemes, such as list MIMO detection, often face the challenge of having to ldquoguessrdquo at the decision reliability for some of the detected bits. A simple yet effective way of doing this is to set the maximum magnitudes of the associated log-likelihood-ratios (LLRs) to a certain predefined value: LLR clipping. However, the choice of the clipping level has a significant impact on the system performance. A majority of prior approaches attempted to determine appropriate clipping levels by manual optimization. In this work we propose to use an SNR-aware approach for calculating the LLR clipping levels in list MIMO detection. The proposed scheme exploits knowledge of the channel state information to determine the instantaneous bit error probability of the list detector, and from this an appropriate level for clipping of the LLRs. Simulation results show that this strategy outperforms schemes using a fixed clipping level. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/PIMRC.2008.4699774 | Cannes |
Keywords | Field | DocType |
MIMO communication,channel estimation,error statistics,optimisation,LLR clipping,SNR-aware approach,channel state information,instantaneous bit error probability,list MIMO detection,log-likelihood-ratios,manual optimization,suboptimal detection | Computer science,MIMO,Algorithm,Real-time computing,Exploit,Theoretical computer science,Probability of error,Mimo communication,Detector,Clipping (audio),Channel state information | Conference |
ISBN | Citations | PageRank |
978-1-4244-2644-7 | 10 | 0.67 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David L. Milliner | 1 | 54 | 3.78 |
| Ernesto Zimmermann | 2 | 225 | 15.73 |
| John R. Barry | 3 | 233 | 20.72 |
| Gerhard Fettweis | 4 | 3553 | 410.41 |