Name
Title | ||
|---|---|---|
Low Complexity Zero Forcing Detector Based on Newton-Schultz Iterative Algorithm for Massive MIMO Systems. |
Abstract | ||
|---|---|---|
Linear detectors, such as zero forcing (ZF) and minimum mean-square error (MMSE), can achieve near-optimum performance due to the favorable channel propagation of massive multiple-input multiple-output systems. However, these detectors employ, in general, exact matrix inversion, which is computationally complex for such huge systems. Thus, in order to avoid the computation of the exact matrix inve... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVT.2018.2874811 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
MIMO communication,Detectors,Complexity theory,Approximation algorithms,Convergence,Jacobian matrices,Iterative methods | Convergence (routing),Approximation algorithm,Applied mathematics,Polynomial,Iterative method,Matrix (mathematics),Computer science,Electronic engineering,Rate of convergence,Band matrix,Computational complexity theory | Journal |
Volume | Issue | ISSN |
67 | 12 | 0018-9545 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Minango | 1 | 0 | 1.35 |
| Celso Almeida | 2 | 3 | 6.47 |