Defining and Surveying Wireless Link Virtualization and Wireless Network Virtualization

Belt, Jonathan van de; Ahmadi, Hamed; Doyle, Linda

doi:10.1109/comst.2017.2704899

Cited by 56 publications

(33 citation statements)

References 114 publications

(184 reference statements)

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“…The translation between the physical and the abstract domains occurs through a process known as representation. More details about representation can be found in [18].…”

Section: Softwarizationmentioning

confidence: 99%

Enabling Virtual Radio Functions on Software Defined Radio for Future Wireless Networks

Liu

Santos

Belt

et al. 2020

Wireless Pers Commun

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Today's wired networks have become highly flexible, thanks to the fact that an increasing number of functionalities are realized by software rather than dedicated hardware. This trend is still in its early stages for wireless networks, but it has the potential to improve the network's flexibility and resource utilization regarding both the abundant computational resources and the scarce radio spectrum resources. In this work we provide an overview of the enabling technologies for network reconfiguration, such as Network Function Virtualization, Software Defined Networking, and Software Defined Radio. We review frequently used terminology such as softwarization, virtualization, and orchestration, and how these concepts apply to wireless networks. We introduce the concept of Virtual Radio Function, and illustrate how softwarized/virtualized radio functions can be placed and initialized at runtime, allowing radio access technologies and spectrum allocation schemes to be formed dynamically. Finally we focus on embedded Software-Defined Radio as an end device, and illustrate how to realize the placement, initialization and configuration of virtual radio functions on such kind of devices.

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“…The translation between the physical and the abstract domains occurs through a process known as representation. More details about representation can be found in [18].…”

Section: Softwarizationmentioning

confidence: 99%

Enabling Virtual Radio Functions on Software Defined Radio for Future Wireless Networks

Liu

Santos

Belt

et al. 2020

Wireless Pers Commun

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“…The authors in [2], [3] provide brief surveys on some existing works about wireless virtualization, and also mention the challenges and future directions. Further, in [4], J. van de Belt et al first revisit several key concepts about wireless network virtualization and clarify the difference between abstraction and representation. Then, they develop a theory of virtualization to discuss virtualization in a coherent and structured manner.…”

Section: A Wireless Resource Virtualizationmentioning

confidence: 99%

Resource Virtualization for Customized Delay- Bounded QoS Provisioning in Uplink VMIMO-SC-FDMA Systems

Zhao

et al. 2019

IEEE Trans. Commun.

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Wireless Network Virtualization (WNV), which decouples the physical supply process and the service provisioning process, can abstract, isolate and share the physical infrastructure network equipment. This paper studies the resource virtualization in virtual multiple-input multiple-output singlecarrier frequency-division-multiple-access (VMIMO-SC-FDMA) uplink systems, where resources are abstracted to hide the complex details of the fading channel and the link rates are virtualized using the statistical method. Furthermore, the virtual link rates are scheduled and instantiated to different slices with customized delay-bounded quality of service (QoS) provisioning. In this scheme, physical mobile network operator (PMNO) is in charge of the network resource at the physical layer while virtual mobile network operators (VMNOs) are responsible for the traffic admission and the slice management at the MAC layer. Furthermore, we build up the resource virtualization problem as a cross-layer Stackelberg game, which has the interactive dual processes based on the QoS exponent: top-to-down sub-game of leaders at the MAC layer and down-to-top sub-game of follower at the physical layer. Using the newly designed functions for PMNO and VMNOs, we develop an effective dynamic algorithm with iterative dual update to meet the optimization targets of PMNO and VMNOs. Simulation results verify the superiority and stability of delay-bounded QoS guaranteed wireless resource virtualization algorithm developed in this paper in terms of convergence, access rate, and delay-outage probability.

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“…The main difference between wired and wireless VNE arise from the wireless nature when one active path interferes on neighbouring nodes [2]. This fact was, however, compensated in [3] [4] by assuming a perfect interference cancellation mechanism running at nodes, which is not necessarily available in WSNs.…”

Section: Related Workmentioning

confidence: 99%

“…So far, however, specific wireless properties have not been fully addresses. According to [2], we provide for the first time an exact wireless virtualisation solution that considers cyclic flows in the overlay graph and exploit multicast property in the infrastructure graph. Specifically, our contributions are:…”

Section: Introductionmentioning

confidence: 99%

MARVELO: Wireless virtual network embedding for overlay graphs with loops

Afifi

Auroux

Karl

2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

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When deploying resource-intensive signal processing applications in wireless sensor or mesh networks, distributing processing blocks over multiple nodes becomes promising. Such distributed applications need to solve the placement problem (which block to run on which node), the routing problem (which link between blocks to map on which path between nodes), and the scheduling problem (which transmission is active when). We investigate a variant where the application graph may contain feedback loops and we exploit wireless networks' inherent multicast advantage. Thus, we propose Multicast-Aware Routing for Virtual network Embedding with Loops in Overlays (MARVELO) to find efficient solutions for scheduling and routing under a detailed interference model. We cast this as a mixed integer quadratically constrained optimisation problem and provide an efficient heuristic. Simulations show that our approach handles complex scenarios quickly.• We support overlay graphs with loops, as often found in signal processing applications. • We leverage the wireless multicast advantage as typical signal processing applications sending the same data to multiple receivers (e.g., in loops). • When scheduling wireless transmission, we consider interference from all sending nodes.

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Defining and Surveying Wireless Link Virtualization and Wireless Network Virtualization

Cited by 56 publications

References 114 publications

Enabling Virtual Radio Functions on Software Defined Radio for Future Wireless Networks

Enabling Virtual Radio Functions on Software Defined Radio for Future Wireless Networks

Resource Virtualization for Customized Delay- Bounded QoS Provisioning in Uplink VMIMO-SC-FDMA Systems

MARVELO: Wireless virtual network embedding for overlay graphs with loops

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