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dc.contributor.authorAlhumaima, R-
dc.contributor.authorAhmed, R-
dc.contributor.authorAl-Raweshidy, H-
dc.identifier.citationIEEE Transactions on Green Communications and Networkingen_US
dc.description.abstractIn cloud radio access networks (C-RAN), more accurate prediction of the number of virtual machines (VMs) one server can support would improve network capacity and energy efficiency (EE). In this paper, the problem of allocating an optimal number of VMs to the cloud server is introduced. Monte Carlo based evolutionary algorithm (PSO, QPSO or GA) are used to find the suboptimal number of VMs that optimises the energy efficiency (EE) of C-RAN. To enable such evaluation, a power model is proposed to evaluate the power consumption (PC) of each unit within a virtualised server. This evaluation occurs under the circumstances of increased number of hosted VMs, and processed resource blocks (RBs) at each VM. Moreover, power allocation methods are proposed to transmit the power from base band unit (BBU) pool to the remote radio heads (RRHs), and from RRHs to the users (UEs). This allocation is based on the combination of one or more of RRH distance, RRH channel gain, UE distance, UE channel gain, and UE path loss. The EE problem was constrained to crucial quality of service (QoS) indicators, including minimum UE data rate, number of allocated RBs, and latency imposed due to virtualisation.en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.subjectBBU poolen_US
dc.subjectcloud radio access networksen_US
dc.titleMaximising the Energy Efficiency of Virtualised C-RAN Via Optimising the Number of Virtual Machinesen_US
dc.relation.isPartOfIEEE Transactions on Green Communications and Networking-
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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