Wireless Virtualization

Wen, Heming; Tiwary, Prabhat Kumar; Le‐Ngoc, Tho

doi:10.1007/978-3-319-01291-9_5

Cited by 18 publications

(13 citation statements)

References 20 publications

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“…A gateway level virtualization solution has been proposed by Kokku et al 19 Other related works include a software defined cellular network, 20,21 wireless LAN virtualization, 22 sensor network virtualization, 23 LTE network virtualization, 24 and wireless PAN virtualization. 16,25 None of these existing approaches consider multiple WIPs to create multiple MVNOs based on QoE constraints such as coverage, rate, and delay requirements, which help to distinguish our approach from the state-of-the-art work.…”

Section: Introductionmentioning

confidence: 99%

On the wireless virtualization with QoE constraints

Rawat

Alsulami

Chaudhary

2019

Trans Emerging Tel Tech

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Wireless virtualization is emerging as a new paradigm to improve wireless spectrum utilization by subleasing radio frequency (RF) channels through slicing. This paper investigates wireless virtualization where wireless resources for virtual wireless networks adapted based on availability of leasable RF slices as well as the demands from the users of virtual wireless networks. The user utilities are subject to quality‐of‐experience requirements such as coverage, rate, mobility, and delay requirements. With the help of software defined network controller, wireless infrastructure providers (WIPs) slice their RF bands to sublease those slices to mobile virtual network operators (MVNOs). In wireless virtualization, MVNOs work as independent service provides, and thus, the end users negotiate directly to MVNOs regardless of WIPs used behind the scene (this concept is analogous to the Uber being a taxi company without owning any vehicles). The performance of the proposed approach is evaluated with the help of numerical results obtained from simulations by using different metrics such as percentage of RF band of WIP, outage probability, and data rate.

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Section: Introductionmentioning

confidence: 99%

On the wireless virtualization with QoE constraints

Rawat

Alsulami

Chaudhary

2019

Trans Emerging Tel Tech

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“…Virtualisation, as a key enabler of the Network-as-a-Service paradigm for future mobile communications, can significantly facilitate the provision of customised services, by decoupling networking functionalities from the underlying infrastructure. In this framework, a common physical infrastructure can be effectively shared, in an isolated manner, among coexisting tenants, called Virtual Network Operators (VNOs); each VNO will be able to implement its own specific rules and regulations over the shared set of resources, without necessarily being aware of the underlying virtualisation process [2]. This is of great importance for the design of convergent mechanisms and coordination of the available resources across the emerging wireless Heterogeneous Networks (Het-Nets).…”

Section: Introductionmentioning

confidence: 99%

A Service‐Oriented Approach for Radio Resource Management in Virtual RANs

Rouzbehani

Correia

Caeiro

2018

Wireless Communications and Mobile Computing

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Virtualisation, as a key role player of future mobile communications, promotes the idea of service-oriented architectures. This paper proposes a model of Radio Resource Management (RRM) for emerging Virtual Radio Access Networks, based on the interaction between two separated management entities: Common-RRM (CRRM) to coordinate the radio resources among the Radio Access Technologies (RATs) and a centralised virtualisation platform on top of it, called Virtual-RRM (VRRM), which is responsible for service orchestration among Virtual Network Operators, enabling the definition of various services and policies, separately from vendors and underlying RATs. The main objective of VRRM is to satisfy the Service Level Agreements associated with different service classes to the highest possible level, within the framework of proportional fairness. On the other hand, CRRM is in charge of mapping the demanded capacity of each service onto the most suitable RATs. The model is further extended to deal with extreme situations of resource shortage, resulting from high traffic loads, by introducing delay to lower priority services. The performance of the proposed model is evaluated in a practical multi-RAT scenario. Results confirm that the isolation of service classes is consistent with the introduced serving weights, while all the demanded capacities from different services are responded by the most suitable RATs. Finally, independent of the variation of traffic load, 100% of the aggregated capacity is used.

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“…Using wireless virtualization, cellular network infrastructure can be decoupled from the services it provides so that differentiated services can share the same infrastructure, maximizing its utilization [3]. Consequently, the capital expenses (CapEx) and operation expenses (OpEx) of radio access networks (RANs), as well as core networks (CNs), can be significantly reduced.…”

Section: Introductionmentioning

confidence: 99%