A parameterized and optimized BBU pool virtualization power model for C-RAN architecture

Al-Zubaedi, Wesam; Al-Raweshidy, H.S.

doi:10.1109/eurocon.2017.8011074

Cited by 13 publications

(11 citation statements)

References 15 publications

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“…The energy consumption of V-CRAN has been studied in [165], [166]. The authors of [165] propose a dynamic resource allocation framework namely KORA for heterogeneous V-CRAN architecture of 5G mobile network.…”

Section: ) Energy Consumptionmentioning

confidence: 99%

“…The simulation results demonstrate that the heuristic algorithm is able to save 27.39% of number of relocations and 33.26% of number of affected Guaranteed Bit Rate (GBR) flows, and increases the consumption of energy by 6.67% in comparison to KORA. In paper [166] a cost effective scheme for V-CRAN is proposed. The authors claim that proposed scheme reduces average power consumption by 65%, 6% and 3% less than for the Distributed Baseline (DB), the First Fit Decreasing (FFD) algorithm and the Heuristic Simulating Annealing (HSA) algorithm, respectively.…”

Section: ) Energy Consumptionmentioning

confidence: 99%

“…The CAPEX/OPEX of V-CRAN has been studied in [152], [166], [167]. The authors in [167] explore advantages, existing challenges, limitations and standardization of deployment of virtualization in V-CRAN for 5G mobile network.…”

Section: ) Capex/opexmentioning

confidence: 99%

“…They analyze the cost of these requirements in V-CRAN. Moreover, [152], [166] do also partially analyze the CAPEX/OPEX together with system level performance and energy consumption, respectively. As for the survey and tutorials related to V-CRAN, we recommend interested readers to [103], [151], [152], [167].…”

Section: ) Capex/opexmentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

et al. 2019

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The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous mobile service with enhanced quality of service (QoS). It is also expected to enable new use-cases for various vertical industrial applications-such as automobiles, public transportation, medical care, energy, public safety, agriculture, entertainment, manufacturing, and so on. Rapid increases are predicted to occur in user density, traffic volume, and data rate. This calls for novel solutions to the requirements of both mobile users and vertical industries in the next decade. Among various available options, one that appears attractive is to redesign the network architecture-more specifically, to reconstruct the radio access network (RAN). In this paper, we present an inclusive and comprehensive survey on various RAN architectures toward 5G, namely cloud-RAN, heterogeneous cloud-RAN, virtualized cloud-RAN, and fog-RAN. We compare them from various perspectives, such as energy consumption, operations expenditure, resource allocation, spectrum efficiency, system architecture, and network performance. Moreover, we review the key enabling technologies for 5G systems, such as multi-access edge computing, network function virtualization, softwaredefined networking, and network slicing; and some crucial radio access technologies (RATs), such as millimeter wave, massive multi-input multi-output, device-to-device communication, and massive machinetype communication. Last but not least, we discuss the major research challenges in 5G RAN and 5G RATs and identify several possible directions of future research.

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Section: ) Energy Consumptionmentioning

confidence: 99%

Section: ) Energy Consumptionmentioning

confidence: 99%

Section: ) Capex/opexmentioning

confidence: 99%

Section: ) Capex/opexmentioning

confidence: 99%

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A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

et al. 2019

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“…The latency due to communication between RRH and BBU is a fixed constrain. Next, Al‐Zubaedi and Al‐Raweshidy 21 studied the architecture of C‐RAN as a set of RRHs connected to a BBU pool via optical fibres. In particular, the virtual pool contains a set of physical servers, each of which hosts a number of CPU cores.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Toward 5G cloud radio access network: An energy and latency perspective

Bassoli

Granelli

Arzo

et al. 2019

Trans Emerging Tel Tech

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Future generation networks will entirely deploy virtualization paradigms to enhance performance and capabilities of current cellular networks. In order to achieve the vision of fifth‐generation networks, software‐defined networking and network function virtualization will be applied not only at the core network but also at the radio access network. That will help to achieve significant reduction in power consumption while increasing energy efficiency, flexibility, and scalability. This article proposes a general mathematical model that can correctly and accurately describe spatial/topological characteristics, power consumption, and latency of Cloud radio access network in future generation networks. Thanks to the development of this novel model based on stochastic geometry, tessellation theory, and random multilayer hypergraphs, we can numerically estimate the overall energy efficiency (in bit per Joule) of Cloud radio access network in 5G (considering either edge or cloud computing), and we can compare that to energy efficiency of legacy radio access network of current 4G cellular networks. Moreover, the analysis includes a preliminary discussion about latency; that shows edge computing to be the best paradigm for 5G radio access network, which can concurrently satisfy energy efficiency and latency requirements.

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Virtual Networking for Lowering Cost of Ownership

Marzouk

Lashgari

Barraca

et al. 2021

Enabling 6G Mobile Networks

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5G and beyond mobile networks hold the promise of supporting a vast emergence of new services and increased traffic growth. This represents a challenge for mobile networks operators, which are faced with the pressure of providing a variety of these services according to the stringent requirements of future mobile network generations, while still being able to i) preserve service resilience ii) sustain profitability by reducing costs, and iii) ensuring minimal energy consumption in the infrastructure. Fortunately, emerging 5G and beyond networks are expected to adopt increasingly prominent technological drivers that can tackle the above challenges by pushing the planning and management operations logic to the limit.

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A parameterized and optimized BBU pool virtualization power model for C-RAN architecture

Cited by 13 publications

References 15 publications

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

Toward 5G cloud radio access network: An energy and latency perspective

Virtual Networking for Lowering Cost of Ownership

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