Adaptive Network Slicing in Multi-Tenant 5G IoT Networks

Escolar, Antonio Matencio; Alcaraz-Calero, José M.; Salvá-García, Pablo; Bernabé, Jorge Bernal; Wang, Qi

doi:10.1109/access.2021.3051940

Cited by 30 publications

(12 citation statements)

References 27 publications

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“…This paper uses iptables to control and optimise video traffic in multi-tenant 5G networks. Similarly, Matencio-Escolar et al [12] presents an adaptive network slicing solution for multi-tenant 5G IoT network. The implementation is based on OVS and provides good performance for different IoT scenarios.…”

Section: Software-based Approachesmentioning

confidence: 99%

XDP-Based SmartNIC Hardware Performance Acceleration for Next-Generation Networks

et al. 2022

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Next-generation networks are expected to combine advanced physical and digital technologies in super-high-speed connected system infrastructures, gaining critical operation competitiveness of improved efficiency, productivity and quality of services. Towards a fully digital and connected world, these platforms will enable infrastructure virtualization and support of edge processing, making emerging sectors, such as Industry 4.0, ready to exploit its full potentials. Nevertheless, the fast growth of data-centric and automated systems may exceed the capabilities of the overall infrastructure beyond the radio access networks, becoming unable to fulfil the demands of vertical sectors and representing a bottleneck. To minimize the negative effects that could affect critical services in a heavily loaded network, it is essential for network providers to deploy highly scalable and prioritisable in-network optimisation schemes to meet industry expectations in next-generation networks. To this end, this work presents a novel framework that leverages extended Berkeley Packet Filter (eBPF) and eXpress Data Path (XDP) to offload network functions to reduce unnecessary overhead in the backbone infrastructure. The proposed solution is envisioned to be implemented as a Network Application (NetApp) service, which will greatly benefit the compatibility with next-generation networking ecosystem empowered by Artificial Intelligence (AI), advanced automation, multi-domain network slicing, and other related technologies. The achieved results demonstrate key performance improvements in terms of packet processing capacity as high as about 18 million packets per second (Mpps), system throughput up to 6.1 Mpps with 0% of packet loss, and illustrate the flexibility of the framework to adapt to multiple network policy rules dynamically on demand.

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Section: Software-based Approachesmentioning

confidence: 99%

XDP-Based SmartNIC Hardware Performance Acceleration for Next-Generation Networks

et al. 2022

Self Cite

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“…Results analysis show that the proposed slicing transport network mechanism gave important results. Escolar et al [29] presented an NS framework for 5G-IoT networks based on an SDN approach in order to dynamically manage a wide number of heterogeneous IoT network slices on demand. To validate the theoretical proposed solution, an empirical test is done for five realistic vertical-oriented IoT use cases.…”

Section: Related Workmentioning

confidence: 99%

New Network Slicing-Based IoT Architecture for 5G and Next-Generation Mobile Technologies

AMINE¹,

Kobbane²,

Ben‐Othman³

2022

Preprint

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<p>The massive device’s connectivity and the great data traffic demand are growing explosively in our daily lives, especially in the Internet of Things environment. For this purpose, the main objective of operators is to find the most innovative and powerful solution that can support all these needs. The sliced fifth-generation mobile network (sliced 5G) is considered a promising architecture using a new radio access technology called New Radio (NR), which can offer significantly higher data rate experiences. In addition, using Network Slicing (NS) architecture will allow more flexibility and isolation to the predefined infrastructure. The NS isolation effect’s benefit is eliminating inter-slices interference since they will be independent of each other. This paper aims to resolve the user-association problem in a sliced 5G (NR)-IoT network. Hence, the problem is formulated as an Unconstrained-Markov Decision Process (U-MDP) model. Then, the U-MDP association algorithm is proposed to find the optimal association among users and the different slices. Numerical simulation results validate the theoretical proposed model and prove her efficiency in improving the global system performance while respecting all devices’ Quality of Service.</p>

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“…In 2025, 5-generation (5G) network users will reach 1/3 of the global population [1]. 6-generation (6G) [2] high frequency network systems (100GHZ-1THZ) [3] are required to provide higher-speed network services for augmented reality/virtual reality(AR/VR) [4], Internet of things(IoT) [5] etc. The multi-carrier system allows high-speed data transmission of numerous parallel sub-carriers [6], favoured by the 5/6G network system.…”

Section: Introductionmentioning

confidence: 99%

Continuous unconstrained PSO‐PTS strategy to maximize HPA energy efficiency for FBMC‐OQAM systems

Jin

et al. 2023

IET Communications

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In filter bank multi‐carrier (FBMC) with offset quadrature amplitude modulation (OQAM) systems, the major limitation of FBMC‐OQAM signaling is the high peak‐to‐average power ratio (PAPR). High PAPR results in increased hardware complexity and is also prone to non‐linear effects of high‐power amplifiers (HPA). The existing HPA energy‐efficient optimization strategies are constrained severely by the scarcity and heterogeneity of signal distribution in the degree of freedom. This paper theorizes the optimal FBMC‐OQAM signal distribution, which has a global and steady feature and evaluates the maximal HPA efficiency‐suited multi‐carrier modulation (MCM) signal. This paper first proposes that the Binary Particle Swarm Optimization based Partial Transmit Sequence (BPSO‐PTS) with the Input‐Back Off Modulation Error Ratio (IBO‐MER) scheme traces the signal distribution for maximal HPA efficiency to save supply‐side energy. This paper further proposes Continuous‐Unconstrained Particle Swarm Optimization based PTS(CUPSO‐PTS) with IBO‐MER to obtain the theoretical boundaries and drastically accelerate convergence in the continuous‐unconstrained searching space. To decrease the computational complexity of MER calculation, this paper proposes the CUPSO with IBO Signal‐to‐Distortion Ratio (IBO‐SDR), enabling it to meet more practical applications. The simulation results show that the proposed scheme outperforms conventional IBO and HPA efficiency schemes.

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Adaptive Network Slicing in Multi-Tenant 5G IoT Networks

Cited by 30 publications

References 27 publications

XDP-Based SmartNIC Hardware Performance Acceleration for Next-Generation Networks

XDP-Based SmartNIC Hardware Performance Acceleration for Next-Generation Networks

New Network Slicing-Based IoT Architecture for 5G and Next-Generation Mobile Technologies

Continuous unconstrained PSO‐PTS strategy to maximize HPA energy efficiency for FBMC‐OQAM systems

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