Name
Title | ||
|---|---|---|
Dimension Boundary Between Finite and Infinite Random Matrices in Cognitive Radio Networks. |
Abstract | ||
|---|---|---|
The dimension boundary between finite random matrices and infinite random matrices is originally defined in this letter. The proposed boundary provides a theoretical approach to classify random matrices based on their dimensions. Two methods are proposed to determine the dimension boundary. One is based on the eigenvalue distribution and the other is based on the eigenvalue interval. In particular... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LCOMM.2017.2698474 | IEEE Communications Letters |
Keywords | Field | DocType |
Eigenvalues and eigenfunctions,Sensors,Covariance matrices,Cascading style sheets,Convergence,Cognitive radio | Boundary knot method,Convergence (routing),Discrete mathematics,Applied mathematics,Cascading Style Sheets,Real-time computing,Singular boundary method,Eigenvalues and eigenvectors,Mathematics,Random matrix,Mixed boundary condition,Cognitive radio | Journal |
Volume | Issue | ISSN |
21 | 8 | 1089-7798 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wensheng Zhang | 1 | 107 | 14.25 |
| C. X. Wang | 2 | 3694 | 246.36 |
| Jian Sun | 3 | 65 | 11.03 |
| George K. Karagiannidis | 4 | 5216 | 362.34 |
| Y. Yang | 5 | 466 | 41.93 |