Name
Abstract | ||
|---|---|---|
We study the problem of distributed estimation over adaptive networks where communication delays exist between nodes. In particular, we investigate the diffusion Least-Mean-Square (LMS) strategy where delayed intermediate estimates (due to the communication channels) are employed during the combination step. One important question is: Do the delays affect the stability condition and performance? To answer this question, we conduct a detailed performance analysis in the mean and in the mean-square-error sense of the diffusion LMS with delayed estimates. Stability conditions, transient and steady-state mean-square-deviation (MSD) expressions are provided. One of the main findings is that diffusion LMS with delays can still converge under the same step-sizes condition of the diffusion LMS without delays. Finally, simulation results illustrate the theoretical findings. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LSP.2020.2990086 | IEEE SIGNAL PROCESSING LETTERS |
Keywords | DocType | Volume |
Communication delays, distributed estimation, diffusion LMS, performance analysis, stability | Journal | 27 |
ISSN | Citations | PageRank |
1070-9908 | 0 | 0.34 |
References | Authors | |
27 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Hua | 1 | 9 | 2.83 |
| Roula Nassif | 2 | 57 | 6.89 |
| Cédric Richard | 3 | 940 | 71.61 |
| Haiyan Wang | 4 | 39 | 16.48 |
| Ali H. Sayed | 5 | 9134 | 667.71 |