Radio Hardware Virtualization for Software-Defined Wireless Networks

Figueiredo, Felipe Augusto Pereira de; Jiao, Xianjun; Liu, Wei; Moerman, Ingrid

doi:10.1007/s11277-018-5619-3

Cited by 9 publications

(9 citation statements)

References 20 publications

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“…These streams of samples are ready to be further processed by VRF chains. Although in principle one may use multiple chains of radio functions to process the samples, in [5] a single preamble detector operating at high speed is used to detect packets on all 10 channels.…”

Section: Spectrum Virtualization Layer On Embedded Sdrmentioning

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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Section: Spectrum Virtualization Layer On Embedded Sdrmentioning

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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“…An essential application domain of SDR is to enable more efficient spectrum utilization through opportunistic use of the spectrum [5]. Ultimately, bridging SDR and SDN will make it possible to bring the softwarization and virtualization of wireless networks down to the physical layer, which will unlock the full potential of next generation networks [8,9].…”

Section: Programmable Network and Network Virtualizationmentioning

confidence: 99%

“…The European Telecommunications Standards Institute (ETSI) is currently standardizing a set of primitives and requirements for network virtualization on a standard known as NFV. NFV can beneficially be combined with SDN and SDR mechanisms [9], by providing the infrastructure upon which the SDN and SDR software can be executed [5]. SDN and SDR in combination with NFV can virtualize the radio and the network infrastructure into separate and independent infrastructures, referred to as network slicing or vertical slicing [9], enabling the inclusion of the most appropriate protocols and mechanisms to deal with each traffic class [5].…”

Section: Programmable Network and Network Virtualizationmentioning

confidence: 99%

“…Nevertheless, the implementation of programmable networks and network virtualization, results in a number of challenges, such as the increased processing and signaling overheads [8,9]. Furthermore, these emerging technologies seek a shift from device-driven management models to context-aware and QoS-aware management models, presenting important challenges associated with network orchestration demands [19].…”

Section: Programmable Network and Network Virtualizationmentioning

confidence: 99%

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Autonomic Network Management and Cross-Layer Optimization in Software Defined Radio Environments

et al. 2019

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The demand for Autonomic Network Management (ANM) and optimization is as intense as ever, even though significant research has been devoted towards this direction. This paper addresses such need in Software Defined (SDR) based Cognitive Radio Networks (CRNs). We propose a new framework for ANM and network reconfiguration combining Software Defined Networks (SDN) with SDR via Network Function Virtualization (NFV) enabled Virtual Utility Functions (VUFs). This is the first approach combining ANM with SDR and SDN via NFV, demonstrating how these state-of-the-art technologies can be effectively combined to achieve reconfiguration flexibility, improved performance and efficient use of available resources. In order to show the feasibility of the proposed framework, we implemented its main functionalities in a cross-layer resource allocation mechanism for CRNs over real SDR testbeds provided by the Orchestration and Reconfiguration Control Architecture (ORCA) EU project. We demonstrate the efficacy of our framework, and based on the obtained results, we identify aspects that can be further investigated for improving the applicability and increasing performance of our broader framework.

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“…Behind the scenes, the transceiver chain runs N times faster than the speed required for a single channel operation. On the transmission side, the baseband IQ samples for each channel are first up-sampled, and then shifted to the desired frequency offset, and finally combined with the baseband samples from the other channels and streamed to the Digital to Analog Converter (DAC), as detailed in [8]. The reverse process occurs on the receiver side.…”

Section: Proposed Solutionmentioning

confidence: 99%

Using Deep Learning and Radio Virtualisation for Efficient Spectrum Sharing Among Coexisting Networks

Liu¹,

Santos

Jiao³

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This work leverages recent advances in machine learning for radio environment monitoring with context awareness, and uses the obtained information for creating radio slices that can optimally coexist with ongoing traffic in a given spectrum band. We instantiate radio slices as virtualised radios built on a software-defined radio platform. Then, we describe a proof-of-concept experiment that validates and demonstrates our proposed solution.

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Radio Hardware Virtualization for Software-Defined Wireless Networks

Cited by 9 publications

References 20 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

Autonomic Network Management and Cross-Layer Optimization in Software Defined Radio Environments

Using Deep Learning and Radio Virtualisation for Efficient Spectrum Sharing Among Coexisting Networks

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