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

Nakao, Akihiro; Du, Ping; Kiriha, Yoshiaki; Granelli, Fabrizio; Gebremariam, Anteneh A.; Taleb, Tarik; Bagaa, Miloud

doi:10.2197/ipsjjip.25.153

Cited by 114 publications

(60 citation statements)

References 20 publications

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“…3GPP addressed network slicing from the architecture perspective in TS23.501, studied the related management and orchestration in TR28.801, and highlighted the RAN slicing aspect in TR38.801. An E2E network slicing overview with respect to different network domains is introduced in [6]. Also, a joint RAN and transport network slicing approach facilitating the programmable control/orchestration plane is provided in [7].…”

Section: Related Workmentioning

confidence: 99%

Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs

et al. 2018

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Ultra Dense Networks (UDNs) are a natural deployment evolution for handling the tremendous traffic increase related to the emerging 5G services, especially in urban environments. However, the associated infrastructure cost may become prohibitive. The evolving paradigm of network slicing can tackle such a challenge while optimizing the network resource usage, enabling multi-tenancy and facilitating resource sharing and efficient service-oriented communications. Indeed, network slicing in UDN deployments can offer the desired degree of customization in both vanilla Radio Access Network (RAN) designs, but also in the case of disaggregated multi-service RANs. In this article, we devise a novel multi-service RAN environment, i.e., RAN runtime, capable to support slice orchestration procedures and to enable flexible customization of slices as per tenant needs. Each network slice can exploit a number of services, which can either be dedicated or shared between multiple slices over a common RAN. The novel architecture we present concentrates on the orchestration and management systems. It interacts with the RAN modules, through the RAN runtime, via a number of new interfaces enabling a customized dedicated orchestration logic for each slice. We present results for a disaggregated UDN deployment where the RAN runtime is used to support slice-based multi-service chain creation and chain placement, with an auto-scaling mechanism to increase the performance.

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Section: Related Workmentioning

confidence: 99%

Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs

et al. 2018

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“…Early results on assigning infrastructure network resources to virtual network components may be found, e.g., in [12,13]. Due to its capability of sharing efficiently network resource in 5G networks, the concept of network virtualization has gained renewed attention in the literature [5,14,15,16] via the concept of network slicing.…”

Section: B Related Workmentioning

confidence: 99%

Aggregated Resource Provisioning for Network Slices

Luu

Kieffer

Mouradian

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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Network slicing appears as a key enabler for the future 5G networks. Mobile Network Operators create various slices for Service Providers (SP) to accommodate customized services. As network slices are operated on a common network infrastructure owned by some Infrastructure Provider (InP), sharing the resources across a set of network slices is important for future deployment. Moreover, in many situations, slices have to be deployed over some geographical area: coverage as well as minimum per-user rate constraints have then to be taken into account.Usually, the various Service Function Chains (SFCs) belonging to a slice are deployed on a best-effort basis. Nothing ensures that the InP will be able to allocate enough resources to cope with the increasing demands of some SP. This paper takes the InP perspective and proposes a slice resource provisioning approach to cope with multiple slice demands in terms of computing, storage, coverage, and rate constraints.The resource requirements of the various Service Function Chains to be deployed within a slice are aggregated within a graph of Slice Resource Demands (SRD). Coverage and rate constraints are also taken into account in the SRD. Infrastructure nodes and links have then to be provisioned so as to satisfy all types of resource demands. This problem leads to a Mixed Integer Linear Programming formulation. A two-step deployment approach is considered, with several variants, depending on whether the constraints of each slide to be deployed are taken into account sequentially or jointly. Once provisioning has been performed, any slice deployment strategy may be considered on the reduced-size infrastructure graph representing the nodes and links on which resources have been provisioned.Simulation results demonstrate the effectiveness of the proposed approach compared to a more classical direct slice embedding approach.

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“…For the measure of this problem, the method described below is more effective in addition to using the conventional internet security measure. First is the network slicing technology which is scheduled to be taken in the 5G network [14]. In this technology, independent logical networks can be constructed.…”

Section: Securitymentioning

confidence: 99%

Safety Technologies in Autonomous Decentralized Railway Control System and its Future Studies

Ryoki

Kunifuji

Itoh

2018

IEICE Trans. Commun.

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Abstract-Along with the sophistication of society, the requirements for infrastructure systems are also becoming more sophisticated. Conventionally, infrastructure systems have been accepted if they were safe and stable, but nowadays they are required for serviceability as a matter of course. For this reason, not only the expansion of the scope of the control system but also the integration with the information service system has been frequently carried out. In this paper, we describe safety technology based on autonomous decentralized technology as one of the measures to secure safety in a control system integrating such information service functions. And we propose its future studies.

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

Cited by 114 publications

References 20 publications

Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs

Slice Orchestration for Multi-Service Disaggregated Ultra-Dense RANs

Aggregated Resource Provisioning for Network Slices

Safety Technologies in Autonomous Decentralized Railway Control System and its Future Studies

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