Guaranteed Bit Rate Traffic Prioritisation and Isolation in Multi-tenant Radio Access Networks

Vilà, I.; Sallent, O.; Umbert, Anna; Perez-Romero, J.

doi:10.1109/camad.2018.8515006

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…This can be extremely challenging when utilizing unlicensed air interfaces and services. Also, NH is a small coverage area, so it is likely that the NH coverage area's emergency service centers will be in the hosted client network [36].…”

Section: F Qos Guaranteementioning

confidence: 99%

Neutral Host Technology: The Future of Mobile Network Operators

et al. 2022

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The neutral host network (NHN) is a new self-contained network envisioned by fifth generation (5G) of cellular networks, which offers wireless connection to its subscribers from a variety of service providers, including both conventional mobile network operators and non-conventional service providers. The NHN infrastructure, which is operated and maintained by a third neutral party, is rented or leased to network operators looking to scale up their network capacities and coverage in a cost-effective way. This paper highlights NHN as an emerging communication technology for private networks and discuss its opportunities and challenges in realizing multi-tenanted space such as factory, hospitals, stadiums, and universities. The paper also investigates the current state of the art in NHN and elaborates on the underlying enabling technologies for the NHN. Lastly, an efficient radio access network (RAN) slicing scheme based on the multi-arm bandit approach has been proposed to allocate radio resources to various slices, which maximizes resource utilization while guaranteeing the availability of resources to meet the capacity needs of each multi-tenanted operator. The simulation results show that the proposed Thompson's sampling (TS)based approach performs best in finding the optimal RAN slice for all the operators. INDEX TERMS Multi tenancy; neutral host network; RAN slicing; wireless infrastructure.

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Section: F Qos Guaranteementioning

confidence: 99%

Neutral Host Technology: The Future of Mobile Network Operators

et al. 2022

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“…Rate-oriented parameters can include limits on the aggregate bit rate. [11] considers Guaranteed Bit Rate (GBR) services and computes the amount of resources necessary per slice based on the aggregate GBR requirements. [12] proposes slices for elastic and inelastic traffic.…”

Section: Related Workmentioning

confidence: 99%

Latency-Based 5G RAN Slicing Descriptor to Support Deterministic Industry 4.0 Applications

García-Morales

Lucas-Estañ

Gozálvez

2019

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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5G networks can support the development of the Industry 4.0. To this aim, 5G must be able to guarantee the deterministic latency requirements that characterize many industrial applications. This objective can be achieved using network slicing, a novel 5G paradigm that exploits the softwarization of networks to create different logical instances of the network over a common network infrastructure. Each instance is configured to support specific applications. Slicing can be applied at the Core Network or at the Radio Access Network (RAN). This study focuses on RAN slicing since the RAN typical accounts for a large part of the end-to-end delay. RAN slicing splits (and configures) resources at the RAN level between the slices in order to adequately serve nodes with a particular profile. This includes identifying the necessary radio resources per slice. To date, most proposals define slices in terms of the number of required radio resources. While this descriptor can account for bandwidth or rate requirements, it does not adequately reflect the latency requirements characteristic of many Industry 4.0 applications. This paper proposes a novel latency-based RAN slice descriptor and demonstrates that the new descriptor improves the capacity of RAN slicing to meet the latency requirements of Industry 4.0 applications with deterministic periodic traffic.

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“…Markov chain models have also been considered in [32] for spectrum sharing schemes and primary/secondary scenarios [33]- [35]. Our recent works [36], [37] introduced a first approach to the use of Markov chains models to characterize different RRM policies for RAN slicing at different layers of the protocol stack. Similarly, [36], [37] considered the 5G QoS model, which embraces prioritization among traffic flows.…”

Section: Introductionmentioning

confidence: 99%

“…Our recent works [36], [37] introduced a first approach to the use of Markov chains models to characterize different RRM policies for RAN slicing at different layers of the protocol stack. Similarly, [36], [37] considered the 5G QoS model, which embraces prioritization among traffic flows. This paper constitutes a step forward in the establishment of a wider range of relationships among the different dimensions of the RAN slicing problem, including aspects of the radio environment, services types and configurations, traffic scenarios, etc.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Radio Access Network Slicing Scenarios With 5G QoS Provisioning

et al. 2020

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5G systems are envisaged to support a wide range of application scenarios with variate requirements. To handle this heterogeneity, 5G architecture includes network slicing capabilities that facilitate the partitioning of a single network infrastructure into multiple logical networks on top of it, each tailored to a given use case and provided with appropriate isolation and Quality of Service (QoS) characteristics. Network slicing also enables the use of multi-tenancy networks, in which the same infrastructure can be shared by multiple tenants by associating one slice to each tenant, easing the cost-effective deployment and operation of future 5G networks. Concerning the Radio Access Network (RAN), slicing is particularly challenging as it implies the configuration of multiple RAN behaviors over a common pool of radio resources. In this context, this work presents a Markov model for RAN slicing capable of characterizing diverse Radio Resource Management (RRM) strategies in multi-tenant and multi-service 5G scenarios including both guaranteed and non-guaranteed bit rate services. The proposed model captures the fact that different radio links from diverse users can experience distinct spectral efficiencies, which enables an accurate modeling of the randomness associated with the actual resource requirements. The model is evaluated in a multi-tenant scenario in urban micro cell and rural macro cell environments to illustrate the impact of the considered RRM polices in the QoS provisioning. INDEX TERMS Markov processes, radio access networks, RAN slicing, radio resource management, quality of service.

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Guaranteed Bit Rate Traffic Prioritisation and Isolation in Multi-tenant Radio Access Networks

Cited by 6 publications

References 19 publications

Neutral Host Technology: The Future of Mobile Network Operators

Neutral Host Technology: The Future of Mobile Network Operators

Latency-Based 5G RAN Slicing Descriptor to Support Deterministic Industry 4.0 Applications

Characterization of Radio Access Network Slicing Scenarios With 5G QoS Provisioning

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