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Joint optimization of IoT devices access and bandwidth resource allocation for network slicing in edge-enabled radio access networks

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Abstract

With the rapid development of the Internet-of-Things (IoT) and the continuous progress in software technologies, IoT devices (IoTDs) have been applied to various scenarios for executing computation-intensive applications. Limited by many restrictions, IoTDs usually cannot fully meet the demands of these applications. In this context, the mobile edge computing (MEC) paradigm was proposed. In MEC paradigm, IoTDs and edge servers (ESs) form an edge-enabled radio access network (E-RAN) so that the IoTDs can solve the problem of their poor computational resources by transmitting data or tasks to the ES. In order to improve the Quality-of-Service (QoS) of E-RAN, network slicing technology is widely used. Although the combination of MEC and network slicing technology has effectively made up for the deficiencies of IoTDs, the resource efficiency of network slicing is still a serious challenge. This paper considers a multi-IoTD and multi-ES network system, where there are multiple service providers (SPs) with different priorities. In this system, the joint optimization of IoTDs access and bandwidth resource allocation is formulated, whose objective is to maximize the system th. To address this problem, we develop an optimization algorithm including greedy-based devices access and bandwidth resource allocation optimization (GDABRA) algorithm. Extensive simulation results are provided to demonstrate the system throughput growth of the proposed algorithm in comparison with benchmark algorithms.

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Data availability

Data available on request from the authors.

Notes

  1. For ease of expression, the following uses service provider (SP) to mean edge computing service provider.

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Acknowledgements

This work is partly supported by the Natural Science Foundation of China under Grant No. 62072108, the Natural Science Foundation of Fujian Province for Distinguished Young Scholar No. 2020J06014, the Natural Science Foundation of Fujian Province under Grant No. 2019J01286 and No. 2019J01427, and the Young and Middle-aged Teacher Education Foundation of Fujian Province under Grant No. JT180098.

Author information

Authors and Affiliations

  1. College of Computer and Control Engineering, Minjiang University, Fuzhou, China

    Jianshan Zhang

  2. College of Computer and Data Science, Fuzhou University, Fuzhou, China

    Ming Li

  3. College of Physics and Energy, Fujian Normal University, Fuzhou, China

    Bing Lin

  4. Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou, China

    Jianshan Zhang, Ming Li & Bing Lin

  5. Institut für Informatik, Freie Universität Berlin, Berlin, Germany

    Katinka Wolter

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  1. Jianshan Zhang
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  2. Ming Li
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Contributions

Jianshan Zhang and Ming Li developed the model and performed experiments. Bing Lin wrote the main part of the manuscript, while Katinka Wolter provided the support for writing materials. All the authors read and approved the final manuscript.

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Correspondence to Bing Lin.

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Zhang, J., Li, M., Lin, B. et al. Joint optimization of IoT devices access and bandwidth resource allocation for network slicing in edge-enabled radio access networks. Peer-to-Peer Netw. Appl. 16, 2879–2891 (2023). https://doi.org/10.1007/s12083-023-01535-4

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