Name
Abstract | ||
|---|---|---|
Fifth generation (5G) networks are expected to incorporate more intelligence in order to predict the traffic and mobility patterns and to optimize the performance. Multi-access-Edge Computing may contribute to performance optimization by distributing cloud computing and storage capabilities in the vicinity to end users. In this paper, we propose a new mobile edge service which enables external applications to provide information about foreseen or expected User Equipment (UE) activity and mobility. The applications may gather radio network and location information to calculate UE behavior patterns and to send to the network information that may help to optimize resource management procedures. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/NTMS.2019.8763778 | 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS) |
Keywords | Field | DocType |
Edge Computing,Application Programming Interface,Data model,State machines | Edge computing,Resource management,End user,Computer science,Computer network,User equipment,Application programming interface,Data model,Radio access network,Cloud computing,Distributed computing | Conference |
ISSN | ISBN | Citations |
2157-4952 | 978-1-7281-1543-6 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivaylo Atanasov | 1 | 25 | 13.43 |
| Evelina Pencheva | 2 | 25 | 14.10 |
| Ivaylo Asenov | 3 | 0 | 1.35 |