Scalability and Performance Analysis in 5G Core Network Slicing

Arteaga, Carlos Hernan Tobar; Ordóñez, Armando; Rendón, Óscar Mauricio Caicedo

doi:10.1109/access.2020.3013597

Cited by 21 publications

(6 citation statements)

References 21 publications

(41 reference statements)

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“…In this context, the study given in [19], in which NVFbased LTE-EPC (Long Term Evolution-Evolved Packet Core) framework to implement end-to-end (E2E) "slices" is proposed in order to give support to the dynamic resource assignment for the involved Data Planes (DPs), managed by an autoscaling developed mechanism. Others, such as the work in [20] focus their study on the performance and scalability analysis in the Control Plane of NS-enabled 5G networks, based on the session establishment and user registering processes.…”

Section: State Of the Artmentioning

confidence: 99%

Noisy Neighbour Impact Assessment and Prevention in Virtualized Mobile Networks

Muro¹,

Baena²,

Fortes³

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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The generalization in the use of virtualization in the upcoming generation of cellular networks involves new paradigms and approaches for their management. The correct sharing of the underlying resources between multiple virtualized network functions as well as any other processes sharing the same computational platform implies a complex architecture that makes virtualization challenging. As a result, numerous variables (e.g., computational capacity) were mostly ignored by previous management systems, but that can now lead to relevant impacts on the service performance. In this virtualized scenario with multiple coexistent processes over the same hardware, a "Noisy Neighbour" (NN) is identified as an entity that uses most of the underlying resources while other virtual units suffer a lack of them. While difficult to identify, such situations can affect the network service. In this context, the present work analyzes and assesses the NN problem for 5G Core scenarios. A complete emulated 5G network and analysis framework is defined and developed to evaluate the impact of a noisy entity. In this way, the degradation that Key Performance Indicators suffer in the network and by the end-users when a NN appears is assessed. Thus, the present work proposes a baseline for handling NN through a novel lifecycle management flow. For this purpose, it is evaluated the effectiveness of multiple Machine Learning (ML) models for the identification of NN, based on the metrics gathered from the proposed framework, achieving 99% of accuracy. Moreover, ML is applied to develop a method for network performance inference, along with a prediction model to forecast the number of CPU resources the network may demand at any given time supporting the proposed management flow.

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Section: State Of the Artmentioning

confidence: 99%

Noisy Neighbour Impact Assessment and Prevention in Virtualized Mobile Networks

Muro¹,

Baena²,

Fortes³

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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“…The Core network is where all user requests are processed. The 5G core network is a service-based architecture, in which network functions cooperate to perform signaling procedures, such as connection, registration, mobility management, and session management [191]. Slicing the core network involves specifying network services according to the functional and quality requirements [191].…”

Section: Multi Tenant Networkmentioning

confidence: 99%

Toward Greener 5G and Beyond Radio Access Networks—A Survey

Larsen

Christiansen

Ruepp

et al. 2023

IEEE Open J. Commun. Soc.

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Mobile network traffic is increasing and so is the energy consumption. The Radio Access Network (RAN) part is responsible for the largest share of the mobile network energy consumption, and thus; an important consideration when expanding mobile networks to meet traffic demands. This work analyses how the energy consumption of future mobile networks can be minimised by using the right RAN architecture, share the network with other operators and implementing the most efficient energy minimising technologies in the RAN. It is explored how the different approaches can be realised in real life networks as well as the research state of the art is highlighted. Furthermore, this work provides an overview of future research directions for 6G energy saving potentials. Different energy saving contributions are evaluated by a common methodology for more realistic comparison, based on the potential energy saving of the overall mobile network consumption. Results show that implementing selected technologies and architectures, the mobile network overall energy consumption can be reduced by approximately 30%, corresponding to almost half of the RAN energy consumption. Following this, a set of guidelines towards an energy optimised mobile network is provided, proposing changes to be made initially and in the longer run for brownfield network operators as well as a target network for greenfield network operators.

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“…Initially, only Core Network (CN) slicing [8] was proposed in the academic and industrial domain. Thereafter, the NGMN also supported End-to-End (E2E) slicing [9] in order to enhance both the performance of the Radio Access Network (RAN) and the Core Network (CN).…”

Section: State Of the Artmentioning

confidence: 99%

Network Slicing on 5G Vehicular Cloud Computing Systems

et al. 2021

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Fifth generation Vehicular Cloud Computing (5G-VCC) systems support various services with strict Quality of Service (QoS) constraints. Network access technologies such as Long-Term Evolution Advanced Pro with Full Dimensional Multiple-Input Multiple-Output (LTE-A Pro FD-MIMO) and LTE Vehicle to Everything (LTE-V2X) undertake the service of an increasing number of vehicular users, since each vehicle could serve multiple passenger with multiple services. Therefore, the design of efficient resource allocation schemes for 5G-VCC infrastructures is needed. This paper describes a network slicing scheme for 5G-VCC systems that aims to improve the performance of modern vehicular services. The QoS that each user perceives for his services as well as the energy consumption that each access network causes to user equipment are considered. Subsequently, the satisfactory grade of the user services is estimated by taking into consideration both the perceived QoS and the energy consumption. If the estimated satisfactory grade is above a predefined service threshold, then the necessary Resource Blocks (RBs) from the current Point of Access (PoA) are allocated to support the user’s services. On the contrary, if the estimated satisfactory grade is lower than the aforementioned threshold, additional RBs from a Virtual Resource Pool (VRP) located at the Software Defined Network (SDN) controller are committed by the PoA in order to satisfy the required services. The proposed scheme uses a Management and Orchestration (MANO) entity implemented by a SDN controller, orchestrating the entire procedure avoiding situations of interference from RBs of neighboring PoAs. Performance evaluation shows that the suggested method improves the resource allocation and enhances the performance of the offered services in terms of packet transfer delay, jitter, throughput and packet loss ratio.

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Scalability and Performance Analysis in 5G Core Network Slicing

Cited by 21 publications

References 21 publications

Noisy Neighbour Impact Assessment and Prevention in Virtualized Mobile Networks

Noisy Neighbour Impact Assessment and Prevention in Virtualized Mobile Networks

Toward Greener 5G and Beyond Radio Access Networks—A Survey

Network Slicing on 5G Vehicular Cloud Computing Systems

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