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Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks

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  • Liang, Zhenglin
  • Li, Yan-Fu

Abstract

Nowadays, our lives have become increasingly inseparable from the services facilitated by telecommunication networks. Disruption of this service may result in a significant detrimental effect, especially in smart manufacturing, remote surgery, and harbor logistic. With the development and deployment of the new generation of telecommunication, i.e., 5G mobile networks, reliability has been repeatedly emphasized as a critical issue. Contemporary telecommunication networks often have a large scale. Evaluating network reliability is a challenging issue related to the spatiotemporal characteristics of the network and of the connection principles. In this paper, we bring together concepts from computational geometry and reliability engineering to forge a new approach to address the challenging issue. We first formulate a Voronoi-based Graphic network (VGN) model with a novel built-in dependence, coverage dependence, that manifests the resilience of the network. Based on the VGN model, we propose two new measures for holistically assessing the resilience and reliability of telecommunication networks in a large region. Ultimately, we employ the designed approach to telecommunication networks. The result indicates that coverage dependence and resilience are important factors for delivering ultra-reliable service to users promised by the 5G.

Suggested Citation

  • Liang, Zhenglin & Li, Yan-Fu, 2023. "Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:reensy:v:237:y:2023:i:c:s0951832023002491
    DOI: 10.1016/j.ress.2023.109335
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    3. Dui, Hongyan & Zhai, Jiabao & Fu, Xiuwen, 2025. "Attack strategies and reliability analysis of Wireless Mesh Networks considering cascading failures," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
    4. Hamim, Omar Faruqe & Chen, Xiaowei & Ukkusuri, Satish V., 2025. "Developing a framework for resilience assessment of electric vehicle charging station networks," Journal of Transport Geography, Elsevier, vol. 128(C).
    5. Azhdari, Armaghan & Ardakan, Mostafa Abouei & Najafi, Mojtaba, 2023. "An approach for reliability optimization of a multi-state centralized network," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    6. Yang, Fang & Ma, Tao & Shu, Nina & Liu, Chunsheng & Wu, Tao & Chang, Chao, 2025. "Is your solution accurate? A fault-oriented performance prediction method for enhancing communication network reliability," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    7. Yeh, Wei-Chang & Zhu, Wenbo, 2024. "Optimal allocation of financial resources for ensuring reliable resilience in binary-state network infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    8. Cui, Guonan & Huang, Ning & Meng, Fanyu & Song, Zekun & Cao, Zhenya, 2026. "A GCN-based availability analysis method for mobile network with spatial–temporal effect awareness," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).
    9. Ana Cabrera-Tobar & Francesco Grimaccia & Sonia Leva, 2023. "Energy Resilience in Telecommunication Networks: A Comprehensive Review of Strategies and Challenges," Energies, MDPI, vol. 16(18), pages 1-23, September.

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