Name
Title | ||
|---|---|---|
Scalable RAN Virtualization in Multi-Tenant LTE-A Heterogeneous Networks (Extended version) |
Abstract | ||
|---|---|---|
Cellular communications are evolving to facilitate the current and expected increasing needs of Quality of Service (QoS), high data rates and diversity of offered services. Towards this direction, Radio Access Network (RAN) virtualization aims at providing solutions of mapping virtual network elements onto radio resources of the existing physical network. This paper proposes the Resources nEgotiation for NEtwork Virtualization (RENEV) algorithm, suitable for application in Heterogeneous Networks (HetNets) in Long Term Evolution-Advanced (LTE-A) environments, consisting of a macro evolved NodeB (eNB) overlaid with small cells. By exploiting Radio Resource Management (RRM) principles, RENEV achieves slicing and on demand delivery of resources. Leveraging the multi-tenancy approach, radio resources are transferred in terms of physical radio Resource Blocks (RBs) among multiple heterogeneous base stations, interconnected via the X2 interface. The main target is to deal with traffic variations in geographical dimension. All signaling design considerations under the current Third Generation Partnership Project (3GPP) LTE-A architecture are also investigated. Analytical studies and simulation experiments are conducted to evaluate RENEV in terms of network's throughput as well as its additional signaling overhead. Moreover we show that RENEV can be applied independently on top of already proposed schemes for RAN virtualization to improve their performance. The results indicate that significant merits are achieved both from network's and users' perspective as well as that it is a scalable solution for different number of small cells. |
Year | Venue | Field |
|---|---|---|
2015 | CoRR | Radio resource management,Virtual network,Virtualization,Base station,Computer science,Computer network,Quality of service,Heterogeneous network,Network virtualization,Radio access network,Distributed computing |
DocType | Volume | Citations |
Journal | abs/1506.03929 | 0 |
PageRank | References | Authors |
0.34 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georgia Tseliou | 1 | 67 | 7.17 |
| Ferran Adelantado | 2 | 316 | 26.30 |
| christos verikoukis | 3 | 281 | 23.75 |