5G Architectural Design Patterns

Katsalis, Kostas; Nikaein, Navid; Schiller, Eryk; Favraud, Romain; Braun, Torsten

doi:10.1109/iccw.2016.7503760

Cited by 27 publications

(17 citation statements)

References 8 publications

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“…In order to achieve those functionalities, the authors in Ref. [30] present different kinds of CP/UP configurations in a network slice with their corresponding cost of implementation and flexibility comparisons; i) common CP across slices and dedicated UP for each of the slices, ii) dedicated control/user planes and iii) common CP and dedicated UP for each slice. Choosing which configuration to mainly consider depends on the tradeoff between flexibility and cost of implementation.…”

Section: Slicing Radio Access Networkmentioning

confidence: 99%

End-to-end Network Slicing for 5G Mobile Networks

Nakao

Kiriha

et al. 2017

Journal of Information Processing

114

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Abstract:The research and development (R&D) and the standardization of the 5th Generation (5G) mobile networking technologies are proceeding at a rapid pace all around the world. In this paper, we introduce the emerging concept of network slicing that is considered one of the most significant technology challenges for 5G mobile networking infrastructure, summarize our preliminary research efforts to enable end-to-end network slicing for 5G mobile networking, and finally discuss application use cases that should drive the designs of the infrastructure of network slicing.

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Section: Slicing Radio Access Networkmentioning

confidence: 99%

End-to-end Network Slicing for 5G Mobile Networks

Nakao

Kiriha

et al. 2017

Journal of Information Processing

114

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“…One of the shortcomings in single domain management and orchestration in 5G network slicing is a scalability issues [13] . This is so because, only a single network domain type (e.g., RAN) [257] , or using a single type of resource domain manager is used. Scalability problems can be solved by using multi-domain orchestrator (MdO) implementation.…”

Section: Orchestratormentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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a b s t r a c tThe increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources.In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.Crown (A .A . Barakabitze). tems [1,2,3] . The increasing number of smart devices (e.g., tablets and smartphones) and the growing number of bandwidth-hungry mobile applications (e.g., live video streaming, online video gaming) which demand higher spectral efficiency than that of 4G systems are posing significant challenges in 5G. The Cisco Visual Networking Index (VNI) Forecast [4] predicts that IP video traffic will be 82% of all consumer Internet traffic by 2022, up from 75% in 2017. Mobile video traffic alone will account for 78% of the global mobile data traffic. W...

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“…The factors affecting the hit rate of the system include the average degree value of the graph, the connectivity feature of the graph (ER model or BA model), the scale of the network (the number of nodes), the number of copies of the contents caching in the network, and the weight value for each hop in/ between different level as well as the popularity of the contents and caching policy of each node in the network. With the formulation (10)(11)(12)(13)(14)(15), if the hit rate in the UE level is greater, then the system cost E c is smaller, in other words, it is better that the contents can be hit in the UE level. However, contents cannot be cached in every UE because of the limited caching space in UE, the challenge is to find the tradeoff between the hit rate and the system cost.…”

Section: System Cost For One Contentmentioning

confidence: 99%

“…In the respect of network virtualization architecture based on caching, the proposed architectures include service based [12,13,[15][16][17], application based [13,[18][19][20], MVNO (mobile virtual network operator) based [13,16,20,21], access network [13,15] and/or core network based [22], and different physical layer resource based [8]. In the respect of optimization of virtual wireless network resources based on content-oriented caching, since slicing on a wireless network involves how to assign resources to different slices, which can be transformed into the optimization problem for various optimization objectives, the resources of network slicing can be the available radio spectrum (divided also by time, frequency, or space), wireless network infrastructures, the available transmission time, or the capacity of the medium [8], while content-oriented optimization objects diverse in network-centric objectives and user-centric objectives, and the optimization also depends on the network architecture [23], the state-ofthe-art research issues on optimization of virtual wireless network resources based on content caching are investigated, and several research issues concentrate on network slicing optimization integrating network function virtualization and in-network caching.…”

Section: Introductionmentioning

confidence: 99%

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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5G Architectural Design Patterns

Cited by 27 publications

References 8 publications

End-to-end Network Slicing for 5G Mobile Networks

End-to-end Network Slicing for 5G Mobile Networks

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

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

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