TY - GEN
T1 - Modeling virtualized downlink cellular networks with ultra-dense small cells
AU - Ibrahim, Hazem
AU - Elsawy, Hesham
AU - Nguyen, Uyen T.
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2015/9/11
Y1 - 2015/9/11
N2 - The unrelenting increase in the mobile users' populations and traffic demand drive cellular network operators to densify their infrastructure. Network densification increases the spatial frequency reuse efficiency while maintaining the signal-to-interference-plus-noise-ratio (SINR) performance, hence, increases the spatial spectral efficiency and improves the overall network performance. However, control signaling in such dense networks consumes considerable bandwidth and limits the densification gain. Radio access network (RAN) virtualization via control plane (C-plane) and user plane (U-plane) splitting has been recently proposed to lighten the control signaling burden and improve the network throughput. In this paper, we present a tractable analytical model for virtualized downlink cellular networks, using tools from stochastic geometry. We then apply the developed modeling framework to obtain design insights for virtualized RANs and quantify associated performance improvement. © 2015 IEEE.
AB - The unrelenting increase in the mobile users' populations and traffic demand drive cellular network operators to densify their infrastructure. Network densification increases the spatial frequency reuse efficiency while maintaining the signal-to-interference-plus-noise-ratio (SINR) performance, hence, increases the spatial spectral efficiency and improves the overall network performance. However, control signaling in such dense networks consumes considerable bandwidth and limits the densification gain. Radio access network (RAN) virtualization via control plane (C-plane) and user plane (U-plane) splitting has been recently proposed to lighten the control signaling burden and improve the network throughput. In this paper, we present a tractable analytical model for virtualized downlink cellular networks, using tools from stochastic geometry. We then apply the developed modeling framework to obtain design insights for virtualized RANs and quantify associated performance improvement. © 2015 IEEE.
UR - http://hdl.handle.net/10754/621278
UR - http://ieeexplore.ieee.org/document/7249176
UR - http://www.scopus.com/inward/record.url?scp=84953749494&partnerID=8YFLogxK
U2 - 10.1109/ICC.2015.7249176
DO - 10.1109/ICC.2015.7249176
M3 - Conference contribution
SN - 9781467364324
SP - 5360
EP - 5366
BT - 2015 IEEE International Conference on Communications (ICC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -