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Modeling and Analyzing Preemption-Based Service Prioritization in 5G Networks Slicing Framework

Author

Listed:
  • Yves Adou

    (Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russia)

  • Ekaterina Markova

    (Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russia)

  • Yuliya Gaidamaka

    (Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russia
    Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russia)

Abstract

The Network Slicing (NS) technology, recognized as one of the key enabling features of Fifth Generation (5G) wireless systems, provides very flexible ways to efficiently accommodate common physical infrastructures, e.g., Base Station (BS), multiple logical networks referred to as Network Slice Instances (NSIs). To ensure the required Quality of Service (QoS) levels, the NS-technology relies on classical Resource Reservation (RR) or Service Prioritization schemes. Thus, the current paper aims to propose a Preemption-based Prioritization (PP) scheme “merging” the classical RR and Service Prioritization schemes. The proposed PP-scheme efficiency is evaluated or estimated given a Queueing system (QS) model analyzing the operation of multiple NSIs with various requirements at common 5G BSs. As a key result, the proposed PP-scheme can provide up to 100% gain in terms of blocking probabilities of arriving requests with respect to some baseline.

Suggested Citation

  • Yves Adou & Ekaterina Markova & Yuliya Gaidamaka, 2022. "Modeling and Analyzing Preemption-Based Service Prioritization in 5G Networks Slicing Framework," Future Internet, MDPI, vol. 14(10), pages 1-16, October.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:10:p:299-:d:946416
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    References listed on IDEAS

    as
    1. Natalia Yarkina & Yuliya Gaidamaka & Luis M. Correia & Konstantin Samouylov, 2020. "An Analytical Model for 5G Network Resource Sharing with Flexible SLA-Oriented Slice Isolation," Mathematics, MDPI, vol. 8(7), pages 1-19, July.
    2. Ramraj Dangi & Akshay Jadhav & Gaurav Choudhary & Nicola Dragoni & Manas Kumar Mishra & Praveen Lalwani, 2022. "ML-Based 5G Network Slicing Security: A Comprehensive Survey," Future Internet, MDPI, vol. 14(4), pages 1-28, April.
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    Cited by:

    1. Daria Ivanova & Yves Adou & Ekaterina Markova & Yuliya Gaidamaka & Konstantin Samouylov, 2023. "Mathematical Framework for Mixed Reservation- and Priority-Based Traffic Coexistence in 5G NR Systems," Mathematics, MDPI, vol. 11(4), pages 1-15, February.

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