Name
Title | ||
|---|---|---|
On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach. |
Abstract | ||
|---|---|---|
Recently, deep learning has emerged as an attractive technique to intelligently control network traffic. However, the contemporary researches only focused on small-/medium-scale networks, since the computational complexity of deep learning based traffic control algorithm significantly increases with the network size. In this paper, we address this issue and envision a reward-based deep learning st... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LCOMM.2018.2875431 | IEEE Communications Letters |
Keywords | DocType | Volume |
Machine learning,Training data,Telecommunication traffic,Computational complexity,Convolutional neural networks,Heterogeneous networks,Routing protocols,Semisupervised learning | Journal | 22 |
Issue | ISSN | Citations |
12 | 1089-7798 | 4 |
PageRank | References | Authors |
0.40 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zubair Md. Fadlullah | 1 | 756 | 45.47 |
| Fengxiao Tang | 2 | 253 | 11.24 |
| Bomin Mao | 3 | 265 | 13.95 |
| Jiajia Liu | 4 | 1372 | 94.60 |
| Nei Kato | 5 | 3982 | 263.66 |