Name
Abstract | ||
|---|---|---|
The NFV transformation is gaining incredible momentum from mobile operators as one of the significant solutions to improve resource allocation and system scalability in 5G networks. However, the ultra-dense deployments in 5G create high volumes of traffic that pushes the physical and virtual resources of cloud-based networks to edge limits. Consider a distributed cloud, replacing the core network with virtual entities in the form of VNFs still requires efficient integration with various underlying hardware technologies. Therefore, orchestrating the distribution of load between cloud geo-data centers starts by instantiating virtual and physical network topologies that connect involved fronthaul with relevant VNFs. In this article, we provide a framework to manage calls within 5G network clusters for efficient utilization of computational resources and also to prevent unnecessary signaling. We also propose a new scheme to instantiate virtual tunnels for call forwarding between network clusters leading to new logic networks that combine geo-data centers and fronthaul. To facilitate service chaining in cloud, we propose a new enhanced network functions virtualization management and orchestration (E-MANO) that extends telemetry services to the radio access network for instant monitoring of available radio resources. We provide analysis and testbed results in support of our proposals. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/mwc.2019.1800166 | IEEE Wireless Communications |
Keywords | Field | DocType |
Cloud computing,Wireless fidelity,Long Term Evolution,Hardware,Switches,5G mobile communication,Radio access networks | Computer science,Core network,Computer network,Network topology,Resource allocation,Call forwarding,Radio access network,Orchestration (computing),Cloud computing,Scalability,Distributed computing | Journal |
Volume | Issue | ISSN |
26 | 3 | 1536-1284 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anwer Al-Dulaimi | 1 | 23 | 13.17 |
| Shahid Mumtaz | 2 | 878 | 110.36 |
| Saba Al-Rubaye | 3 | 56 | 11.50 |
| Siming Zhang | 4 | 0 | 0.68 |
| Chih-Lin I | 5 | 2167 | 211.25 |