Name
Abstract | ||
|---|---|---|
The incorporation of Artificial Intelligence (AI) and Machine Learning (ML) in mobile networks is expected to raise the degree of automation by proposing Cognitive Autonomous Networks (CAN). In CAN, learning based functions, called Cognitive Functions (CFs), adjust network control parameters to optimize specific Key Performance Indicators (KPIs). The CFs share the same resources, and this very oft... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TNSM.2021.3116308 | IEEE Transactions on Network and Service Management |
Keywords | DocType | Volume |
Optimization,Downlink,Throughput,Optical character recognition software,5G mobile communication,Mathematical models,Machine learning | Journal | 19 |
Issue | ISSN | Citations |
1 | 1932-4537 | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anubhab Banerjee | 1 | 6 | 2.99 |
| Stephen S. Mwanje | 2 | 48 | 8.84 |
| Georg Carle | 3 | 951 | 133.84 |