Name
Title | ||
|---|---|---|
Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing |
Abstract | ||
|---|---|---|
Sixth-generation (6G) systems are expected to inaugurate the era of massive and extremely heterogeneous network slicing, where tenancy would be extended to the final consumer with the proliferation of advanced and diverse digital services. This introduces significant challenges to network management and orchestration in terms of scalability and sustainability. This article starts by elaborating on... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MNET.111.2100322 | IEEE Network |
Keywords | DocType | Volume |
6G mobile communication, Network slicing, Scalability, Collaborative work, Prediction algorithms, Energy efficiency, Task analysis | Journal | 35 |
Issue | ISSN | Citations |
6 | 0890-8044 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hatim Chergui | 1 | 0 | 0.34 |
| Luis Blanco | 2 | 0 | 1.01 |
| Luis A. Garrido | 3 | 0 | 0.34 |
| Kostas Ramantas | 4 | 0 | 0.34 |
| Sławomir Kukliński | 5 | 0 | 0.34 |
| Adlen Ksentini | 6 | 1 | 1.03 |
| Christos Verikoukis | 7 | 0 | 0.34 |