Service-Oriented Resource Virtualization for Evolving TDD Networks Towards 5G

被引:0
作者
Costanzo, Salvatore [1 ]
Shrivastava, Rudraksh [2 ,3 ]
Samdanis, Konstantinos [2 ]
Xenakis, Dionysis [1 ]
Costa-Perez, Xavier [2 ]
Grace, David [3 ]
机构
[1] Univ Athens, Dept Informat & Telecommun, Athens, Greece
[2] NEC Europe Ltd, Kurfuersten Anlage 36, D-69115 Heidelberg, Germany
[3] Univ York, Dept Elect, York YO10 5DD, N Yorkshire, England
来源
2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE | 2016年
关键词
5G; Network Slicing; TDD; SDN;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The provision of service-oriented network resource virtualization, commonly known as network slicing, is envisioned as an answer to the increasing diversity of application demands in evolving 5G mobile networks. Network slicing is helpful in isolating a specified amount of resources in order to accommodate diverse services having heterogeneous requirements that may be conflicting. In this paper, we propose a service-oriented network resource slicing scheme for a Time Division Duplex (TDD) network that, for a pre-defined time duration, forms service-specific network slices based on traffic prediction. The aim of the proposed slicing scheme is to enhance the services, Quality of Experience (QoE) and system resource utilization efficiency by introducing a new degree of flexibility upon allocating resources to different tenants. System-level simulation analysis shows that the proposed scheme improves the performance of high priority services and boosts resource utilization at negligible performance loss for low-priority traffic.
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收藏
页数:6
相关论文
共 27 条
[1]  
3GPP, 2010, document TR 36
[2]  
5G Infrastructure Association, 2015, 5G VIS 5G INFR PUBL
[3]  
[Anonymous], THE MOB EC
[4]  
[Anonymous], 2011, 36300 3GPP TS
[5]  
[Anonymous], 2012, 36828 3GPP TR
[6]  
[Anonymous], G107 ITUT
[7]  
[Anonymous], 2015, 32425 3GPP TS
[8]  
Bernardos C. J., 2014, IEEE COMMMAG JUN, V21
[9]  
Costa-Perez X., 2013, IEEE COMMMAG JUL, V51
[10]  
Costanzo S., 2015, IEEE QOMEX