Authors:
Maroua Idi
1
;
Sana Younes
1
and
Riadh Robbana
2
Affiliations:
1
Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia
;
2
National Institute of Applied Sciences and Technology, University of Carthage, Tunis 1080, Tunisia
Keyword(s):
C-RAN, Energy Efficiency, Hysteresis, MRM, CTMC, CSRL.
Abstract:
Cloud Radio Access Network (C-RAN) have been proposed as a fifth-generation (5G) cellular network solution for high spectral and energy efficiency. In the C-RAN architecture, which leverages cloud computing technology, the baseband processing is performed in the cloud. In fact, the BaseBand Units (BBUs) are located in the cloud and generate Virtual Machines (VMs) to serve User Equipment (UE) calls. This paper performs a quantitative analysis of the energy consumption computed over two schemes named Virtual Machine Hysteresis Allocation Strategy (VMHAS) and Virtual Machine Allocation Strategy (VMAS) for 5G C-RAN. The first, VMHAS, uses the hysteresis mechanism to minimize energy consumption by adjusting the number of VMs in BBUs according to the traffic load. It consists of switching the idle VMs to sleep mode to save energy. The second, VMAS, allocates VMs without considering the sleep mode. We use the Markov Reward Model (MRM) to evaluate measures related to energy consumption in th
e proposed schemes. Modeling and performance measures specification are achieved by Continuous-Time Markov chains (CTMCs) and Continuous Stochastic Reward Logic (CSRL). We quantify the steady-state performance measures by checking CSRL formulas using the PRISM model checker. The obtained results demonstrate that the scheme with the hysteresis mechanism, VMHAS, achieves an enhanced energy performance compared to VMAS.
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