Name
Abstract | ||
|---|---|---|
In this letter, we propose a simplified adaptive modulation algorithm for a multiple input multiple output (MIMO) system with a maximum likelihood (ML) receiver to minimize BER under a fixed data rate. The proposed algorithm has the advantages of good system performance and low computational complexity, when compared to previous algorithms. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/LCOMM.2008.080937 | IEEE Communications Letters |
Keywords | Field | DocType |
mimo,maximum likelihood receiver,maximum likelihood estimation,mimo ml systems,ber,maximum likelihood (ml) receiver,adaptive modulation,computational complexity,mimo communication,multiple input multiple output system,radio receivers,error statistics,detectors,awgn,system performance,maximum likelihood,bit error rate,modulation,measurement | Link adaptation,Code rate,Control theory,Computer science,Algorithm,MIMO,Adaptive algorithm,Additive white Gaussian noise,Performance improvement,Computational complexity theory,Bit error rate | Journal |
Volume | Issue | ISSN |
12 | 11 | 1089-7798 |
Citations | PageRank | References |
5 | 1.14 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaesang Ham | 1 | 30 | 5.42 |
| Myoung-Seok Kim | 2 | 20 | 3.37 |
| Chungyong Lee | 3 | 294 | 53.52 |
| Taewon Hwang | 4 | 399 | 31.78 |