A Comprehensive Survey on the E2E 5G Network Slicing Model

Chahbar, Mohammed; Diaz, Gladys; Dandoush, Abdulhalim; Cérin, Christophe; Ghoumid, Kamal

doi:10.1109/tnsm.2020.3044626

Cited by 118 publications

(70 citation statements)

References 8 publications

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“…In new-generation cellular networks, services are provided through the provisioning of logical networks according to the well-known network slicing paradigm, on which useful surveys can be found in [26], [27], [28], [29], [30]. In this context, the MANO architecture [9] is often used for the life cycle management and the runtime operation of network slices.…”

Section: Related Workmentioning

confidence: 99%

ML-Driven Provisioning and Management of Vertical Services in Automated Cellular Networks

Casetti¹,

Chiasserini²,

Marcato³

et al. 2022

IEEE Trans. Netw. Serv. Manage.

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One of the main tasks of new-generation cellular networks is the support of the wide range of virtual services that may be requested by vertical industries, while fulfilling their diverse performance requirements. Such task is made even more challenging by the time-varying service and traffic demands, and the need for a fully-automated network orchestration and management to reduce the service operational costs incurred by the network provider. In this paper, we address these issues by proposing a softwarized 5G network architecture that realizes the concept of ML-as-a-Service (MLaaS) in a flexible and efficient manner. The designed MLaaS platform can provide the different entities of a MANO architecture with already-trained ML models, ready to be used for decision making. In particular, we show how our MLaaS platform enables the development of two ML-driven algorithms for, respectively, network slice subnet sharing and run-time service scaling. The proposed approach and solutions are implemented and validated through an experimental testbed in the case of three different services in the automotive domain, while their performance is assessed through simulation in a largescale, real-world scenario. In-testbed validation shows that the use of the MLaaS platform within the designed architecture and the ML-driven decision-making processes entail a very limited time overhead, while simulation results highlight remarkable savings in operational costs, e.g., up to 40% reduction in CPU consumption and up to 30% reduction in the OPEX.

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Section: Related Workmentioning

confidence: 99%

ML-Driven Provisioning and Management of Vertical Services in Automated Cellular Networks

Casetti¹,

Chiasserini²,

Marcato³

et al. 2022

IEEE Trans. Netw. Serv. Manage.

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“…In the proposed framework, the E2E service management domain, responsible for the E2E service management and orchestration, is composed of E2E RAN, E2E CN, and E2E TN service management domains. Such architecture allows the deployment and management of service instances independently over RAN, CN and TN domains, which have distinct technological and topological characteristics [13]. To focus…”

Section: Proposed Architectural Frameworkmentioning

confidence: 99%

ZSM-based Management and Orchestration of 3GPP Network Slicing: An Architectural Framework and Deployment Options

Sajjad¹,

Jayalath²,

Tian³

et al. 2022

Preprint

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Driven by closed-loop automation, the Zero-Touch Network and Services Management (ZSM) framework offers invigorating features for the end-to-end management and orchestration of a sliced network. Although ZSM is considered a promising framework by 3GPP, there is a lack of concrete ZSM-based solutions for the 3GPP Network Slicing management. This article presents an architectural framework of a ZSM-based management system for 3GPP Network Slicing. The proposed framework employs recursive ZSM management domains to meet the specific management requirements of the standard 3GPP Network Slicing framework. Two deployment options are considered for the presented framework. The first option features the integration of the standard services of the 3GPP Management System within ZSM. The other one considers ZSM as a complementary system for the standard 3GPP Management System. From these deployment options, some key questions are identified on ZSM's interoperability with the existing 3GPP Network Slicing systems. Finally, for each option, the architectural and operational feasibility of the ZSM interoperation with 3GPP Network Slicing systems is shown through an example use case.

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“…There has been significant work to address the problem of RAN slicing, especially in the recent past. There have been many excellent surveys on this topic [4], [10], [12]- [14]. The authors in these surveys provide a comprehensive information regarding the work being done on this topic.…”

Section: Related Workmentioning

confidence: 99%

RAN Slicing in Multi-MVNO Environment under Dynamic Channel Conditions

Ravi¹,

Shah²,

Li³

et al. 2021

Preprint

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With the increasing diversity in the requirement of wireless services with guaranteed quality of service(QoS), radio access network(RAN) slicing becomes an important aspect in implementation of next generation wireless systems(5G). RAN slicing involves division of network resources into many logical segments where each segment has specific QoS and can serve users of mobile virtual network operator(MVNO) with these requirements. This allows the Network Operator(NO) to provide service to multiple MVNOs each with different service requirements. Efficient allocation of the available resources to slices becomes vital in determining number of users and therefore, number of MVNOs that a NO can support. In this work, we study the problem of Modulation and Coding Scheme(MCS) aware RAN slicing(MaRS) in the context of a wireless system having MVNOs which have users with minimum data rate requirement. Channel Quality Indicator(CQI) report sent from each user in the network determines the MCS selected, which in turn determines the achievable data rate. But the channel conditions might not remain the same for the entire duration of user being served. For this reason, we consider the channel conditions to be dynamic where the choice of MCS level varies at each time instant. We model the MaRS problem as a Non-Linear Programming problem and show that it is NP-Hard. Next, we propose a solution based on greedy algorithm paradigm. We then develop an upper performance bound for this problem and finally evaluate the performance of proposed solution by comparing against the upper bound under various channel and network configurations.

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A Comprehensive Survey on the E2E 5G Network Slicing Model

Cited by 118 publications

References 8 publications

ML-Driven Provisioning and Management of Vertical Services in Automated Cellular Networks

ML-Driven Provisioning and Management of Vertical Services in Automated Cellular Networks

ZSM-based Management and Orchestration of 3GPP Network Slicing: An Architectural Framework and Deployment Options

RAN Slicing in Multi-MVNO Environment under Dynamic Channel Conditions

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