Impact of network slicing on 5G Radio Access Networks

Silva, Icaro Da; Mildh, Gunnar; Kaloxylos, Alexandros; Spapis, Panagiotis; Buracchini, Enrico; Trogolo, Alessandro; Zimmermann, Gerd W.; Bayer, Nico

doi:10.1109/eucnc.2016.7561023

Cited by 77 publications

(50 citation statements)

References 2 publications

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“…They allow control of spectrums through flexible allocation and scheduling. As these architectures will be key to enabling proper radio resource management within slices, 3GPP started in 2016 with 5G RAN slicing research projects [15]. The vehicular usecase can benefit from shared RAN resources by requesting a part of the spectrum of the basestations for its broadcasting.…”

Section: Architecture Modularization and Decompositionmentioning

confidence: 99%

Demystifying network slicing: From theory to practice

Soenen

Banerjee

Tavernier

et al. 2017

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

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Abstract-Network slicing is the emerging paradigm in which operators use their resources to provide multiple logical networks and associated resources, with varying configurations and at the same time. More and more vertical industries need their machines and devices connected in networks with specific requirements. In order to provide networks fitted to these usecases, and not require that they adapt to the one-size-fits-all network as is currently the case with the mobile Internet, the telecom community vowed to include network slicing functionality within its next generation of mobile networking, 5G, as an end-to-end network solution. As the concept is new and still not fully grasped, we develop and refine the concept of a network slice both from a business and a technological point of view. We investigate how network slicing in the context of a vehicular network could be implemented and how it advances the state of the art. This involves a detailed study of the involved technologies across a range of infrastructures and network segments, as well as the resulting gaps in the existing technology landscape. Based on the lessons learned in this concrete usecase, network slicing is considered in a broader 5G landscape. We capture the main challenges and potential directions in order to make network slicing a true enabler of 5G-driven vertical industries.

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Section: Architecture Modularization and Decompositionmentioning

confidence: 99%

Demystifying network slicing: From theory to practice

Soenen

Banerjee

Tavernier

et al. 2017

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

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“…In this regard, a network slice lifecycle management solution for end-to-end automation across multiple resource domains is proposed in [11], including the RAN domain for completeness, but not addressing it in details. More focused on a 5G RAN, [12] proposes the notion of an on-demand capacity broker that allows a RAN provider to allocate a portion of network capacity for a particular time period, while [13] provides some insight on the need to extend current RAN management frameworks to support network slicing [1] and gives an extensive overview of related use cases. Further progressing on this topic, a functional framework for the management of network slicing for a NG-RAN infrastructure was introduced in [14], detailing the functional components, interfaces and information models that shall be in place, together with a discussion on the complexity of automating the RAN provisioning process.…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Validation of a Software-Defined Radio Access Network Testbed with Slicing Support

Koutlia

Ferrús

Coronado

et al. 2019

Wireless Communications and Mobile Computing

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Network slicing is a fundamental feature of 5G systems to partition a single network into a number of segregated logical networks, each optimized for a particular type of service, or dedicated to a particular customer or application. The realization of network slicing is particularly challenging in the Radio Access Network (RAN) part, where multiple slices can be multiplexed over the same radio channel and Radio Resource Management (RRM) functions shall be used to split the cell radio resources and achieve the expected behaviour per slice. In this context, this paper describes the key design and implementation aspects of a Software-Defined RAN (SD-RAN) experimental testbed with slicing support. The testbed has been designed consistently with the slicing capabilities and related management framework established by 3GPP in Release 15. The testbed is used to demonstrate the provisioning of RAN slices (e.g. preparation, commissioning and activation phases) and the operation of the implemented RRM functionality for slice-aware admission control and scheduling.

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“…Network function virtualization (NFV) management and orchestration (MANO) supports a wide range of services by orchestrating the VNF (virtual network function) deployment and operation across diverse computing, caching, and networking resources [2][3][4]. According to VNF, WNV creates logical partitions of some existent physical wireless network functions and resources in an efficient manner and allows network configuration to be tailored for different scenarios and applications [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…Wireless network function virtualization leads to various deployment solutions such as cloud radio access network(C-RAN) and F-RAN. The motivations for virtualizing a wireless network diverse from enabling the infrastructure sharing among several operators, offering a layer of abstraction to simplify network management and programmability of wireless networks as well as network slicing based on service, user, or application [6][7][8]. Virtualization of a wireless network can be applied at different layers and degrees.…”

Section: Introductionmentioning

confidence: 99%

“…Virtualizing radio spectrum and physical layer of base stations allows sharing spectrum as well as common access network infrastructure, which includes opportunistic sensing to discover scenario-dependent optimal platform [9], deep sensing for spectrum resources [10,11], and radio resources allocation in RAN. Another respect of virtualization resources is computing, storage, and networking resources deployed in RAN regarding the requirements of cloudified applications [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Content-oriented network slicing optimization based on cache-enabled hybrid radio access network

Jin

Zhao

2018

J Wireless Com Network

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With the development of smart mobile devices and various mobile applications, content-oriented service has become the most popular service which occupies network resources and results in high traffic load. In order to improve quality of experience in radio access network and reduce the OpEx and CapEx of operators, wireless network virtualization and network slicing come into the vision and are deemed as promising solutions to radio access networks to provide tailored services. Therefore, network slicing and optimization based on content-oriented service become a challenging research direction. In this paper, network slicing and resource optimization on content-oriented application in cache-enabled hybrid radio access network based on complex network are investigated. A Cooperative Network Slicing Framework Based on Content in RAN (CNSC-RAN) is presented. Based on CNSC-RAN, procedures of content-oriented static network slicing and dynamic slicing are proposed. Content-oriented slicing is modeled and analyzed which includes slicing on content cache resources and communication resources. In order to obtain the optimized resources sliced for each content, the optimization problem is formulated to minimize the average system cost to get the contents required by users. The problem is solved by a heuristic algorithm called CCSOA (Content-Centric Slicing Optimization Algorithm) in a dynamic content-oriented network slicing procedure enabling UEs with self-evicting contents. The performance of CCSOA is evaluated by performance metrics including hit rate, average cache occupation, average system cost, and request traffic reduction to macro cell base station comparing with CEE and ProbCache. Simulation results reveal the effectiveness of CCSOA.

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Impact of network slicing on 5G Radio Access Networks

Cited by 77 publications

References 2 publications

Demystifying network slicing: From theory to practice

Demystifying network slicing: From theory to practice

Design and Experimental Validation of a Software-Defined Radio Access Network Testbed with Slicing Support

Content-oriented network slicing optimization based on cache-enabled hybrid radio access network

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