Business Models of Network Slicing

Kukliński, Sławomir; Tomaszewski, Lechosław; Kozłowski, Krzysztof; Pietrzyk, Sławomir

doi:10.1002/9781119471509.w5gref094

Cited by 7 publications

(13 citation statements)

References 7 publications

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“…Instances of verticals are defence agencies, transport systems, health institutions, power and energy utilities, disaster and emergency agencies, manufacturing, and agricultural chains. The importance of multidomain NS is emphasised in resource aggregation, coverage area extension, reliability of services, and the opportunity to further make the business model Incentive Compatible (IC) for network players [8,9]. On the other hand, in the single domain model, the NS resources are primarily from the virtualised resources of only one InP.…”

Section: Introductionmentioning

confidence: 99%

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Multi-tier multi-tenant network slicing: A multi-domain games approach

Oladejo¹,

Ekwe²,

Akinyemi³

2021

ITU-J FET

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The 5G slice networks will play a critical role in meeting the stringent quality-of-service requirements of different use cases, reducing the Capital Expenditure (CapEX) and Operational Expenditure (OpEX) of mobile network operators. Owing to the flexibility and ability of 5G slice networks to meet the needs of different verticals, it attracts new network players and entities to the mobile network ecosystem, and therefore it creates new business models and structures. Motivated by this development, this paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from a multiplayer multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising Infrastructure Providers (InPs), Mobile Virtual Network Operators (MVNOs), Service Providers (SPs), and slice users are investigated. We propose two schemes: a multi-tier multi-domain slice user matching game scheme and a distributed backtracking multiplayer multi-domain game scheme in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a Genetic Algorithm (GA) Intelligent Latency-Aware Resource (GI-LARE) allocation scheme, and a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme significantly outperforms these other schemes.

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Section: Introductionmentioning

confidence: 99%

“…On the other hand, in the single domain model, the NS resources are primarily from the virtualised resources of only one InP. A vast corpus of literature on NS has focused on the single domain model despite its non-lexibility and limited resource constraints which make it unsuitable for the future mobile networks [8,10]. In Fig.…”

Section: Introductionmentioning

confidence: 99%

Multi-tier multi-tenant network slicing: A multi-domain games approach

Oladejo¹,

Ekwe²,

Akinyemi³

2021

ITU-J FET

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“…To make 5G networks profitable (i.e. by the reduction of the capital expenditure (CAPEX) and operating expenditure (OPEX) many business models [4], [5] have been proposed, which revolve around multi-tenancy. In this work, we adapt the models in [4], [5] to address multi-tenancy in 5G NS as depicted in Fig.…”

Section: Introduction a Backgroundmentioning

confidence: 99%

Latency-Aware Dynamic Resource Allocation Scheme for Multi-Tier 5G Network: A Network Slicing-Multitenancy Scenario

Oladejo

Falowo

2020

IEEE Access

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In 5G slice networks, the multi-tenant, multi-tier heterogeneous network will be critical in meeting the quality of service (QoS) requirement of the different slice use cases and in reduction of the capital expenditure (CAPEX) and operational expenditure (OPEX) of mobile network operators. Hence, 5G slice networks should be as flexible as possible to accommodate different network dynamics such as user location and distribution, different slice use case QoS requirements, cell load, intra-cluster interference, delay bound, packet loss probability, and service level agreement (SLA) of mobile virtual network operators (MVNO). Motivated by this condition, this paper addresses a latency-aware dynamic resource allocation problem for 5G slice networks in a multi-tenant, multi-tier heterogeneous environment, for efficient radio resource management. The latency-aware dynamic resource allocation problem is formulated as a maximum utility optimisation problem. The optimisation problem is transformed and the hierarchical decomposition technique is adopted to reduce the complexities in solving the optimisation problem. Furthermore, we propose a genetic algorithm (GA) intelligent latency-aware resource allocation scheme (GI-LARE). We compare GI-LARE with the static slicing (SS) resource allocation; the spatial branch and bound-based scheme; and, an optimal resource allocation algorithm (ORA) via Monte Carlo simulation. Our findings reveal that GI-LARE outperformed these other schemes.

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“…1 are 38 targets aimed for research and investigation in the realm of 39 IMT-2020 and expected to be further developed in future 40 releases of ITU-R Recommendations. healthcare, automotive, media and entertainment, agriculture, transportation, and public safety [7]. Moreover, successful and executable business models are likely to be the ones that can best address the economic disruptions and peculiarities underlying 5G wireless networks [8].…”

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confidence: 99%

5G Business Models for Mobile Network Operators—A Survey

2022

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Emerging Fifth-generation (5G) mobile networks and associated technologies are expected to provide multi-service wireless applications with diverse specifications intended to address not only consumer-based smartphone applications, but also the needs of various vertical industry markets (e.g., healthcare, education, energy, mining, agriculture, manufacturing, and so forth). This paper extends 5G networks' technology orientation towards attaining economic value for all key 5G stakeholders, including customers, mobile network operators (MNOs), equipment vendors, public institutions, private enterprises, digital business start-ups and other third parties. Although several surveys and tutorials have discussed business models in connection with 5G networks, there is no comprehensive study on business models for emerging 5G networks from the MNO's perspective. In this survey article, we present and investigate key advances on business models for 5G networks and 5G MNOs in particular, from industry, use cases and research community perspectives. The paper focuses the theoretical business model concept from both strategic management and technological innovation perspectives. Thereafter, we discuss conventional business models for MNOs before presenting particular disruptive business models which can be considered for rolling out 5G networks with an aim to improve business efficiency. Additionally, the paper explores the emerging network deployment concept of private 5G networks and their related business models. Finally, we present some of the open research challenges and provide possible guidelines for implementing 5G business models based on various countries' socio-economic status and relevant 5G use cases applicable in a specific context of emerging economies.INDEX TERMS 5G, business model, business model innovation, disruptive business model, mobile network operators, private 5G networks. I. INTRODUCTION 21The Fifth-generation (5G) of mobile networks have been 22 defined by the International Telecommunication Union (ITU) 23 via its Radio-communication sector (ITU-R) under the 24 umbrella name ''International Mobile Telecommunication-25 2020'' (IMT-2020) to support multi-service wireless appli-26 cations by offering: higher data rates (20 gigabits/second 27 peak data rate), a huge number of wireless connections 28 (1 million connections per square kilometer), higher spec-29 tral efficiency (3 times higher than 4G networks), improved 30 energy efficiency (100 times higher than 4G networks) and 31 (e.g., Advanced Mobile Phone System (AMPS) and Total 46 Access Communication System (TACS)); Second-generation 47 (2G) digital systems (e.g., Global System for Mobile Com-48 munication (GSM)); Third-generation (3G) digital sys-49 tems (e.g., Universal Mobile Telecommunication System 50 (UMTS)); Fourth-generation (4G) digital systems (e.g., Long 51 Term Evolution (LTE) -IMT-Advanced); and emerging 5G 52 digital systems (e.g., New Radio) [4]. Fig. 2 depicts the 53 evolution of wireless cellular networks.54 A. MOTIVATION 55 With...

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Business Models of Network Slicing

Cited by 7 publications

References 7 publications

Multi-tier multi-tenant network slicing: A multi-domain games approach

Multi-tier multi-tenant network slicing: A multi-domain games approach

Latency-Aware Dynamic Resource Allocation Scheme for Multi-Tier 5G Network: A Network Slicing-Multitenancy Scenario

5G Business Models for Mobile Network Operators—A Survey

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