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Service risk evaluation of telecommunication core network: A perspective of routing resilience

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  • Xue, Zongqi
  • Liang, Zhenglin

Abstract

The increasing dependence on telecommunication networks for digitalization raises apprehensions about their vulnerability to disruptions, potentially impacting service performance. Classic risk analysis for telecommunication networks often overlooks the compensating effect of rerouting and its resulting resilience. Our study is devoted to conducting an evaluation of service risk within telecommunication core networks, with a particular emphasis on rerouting resilience. Telecommunication core networks operate on a large scale, where various autonomous systems interconnect through pivotal anchor points. Its routing is typically governed by multiple protocols, including Interior Gateway Protocol and Border Gateway Protocol. We apply percolation theory and Monte Carlo Tree Search to effectively analyze the potential service risk and sequential rerouting effects caused by disruptions marked by a noteworthy probability and substantial impact. Our findings highlight the dual nature of rerouting: it enhances service connectivity while potentially increasing service flows in nearby routers, leading to heightened time delays and packet loss ratios. To comprehensively assess network service risk considering this double-edged sword impact, we devise a performance vector covering service connectivity, time delay, and packet loss across various data transmissions and disruptions. The overall approach is tested on two telecommunication core networks.

Suggested Citation

  • Xue, Zongqi & Liang, Zhenglin, 2025. "Service risk evaluation of telecommunication core network: A perspective of routing resilience," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:reensy:v:255:y:2025:i:c:s0951832024007002
    DOI: 10.1016/j.ress.2024.110629
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    References listed on IDEAS

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    1. Liang, Zhenglin & Li, Yan-Fu, 2023. "Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
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    2. 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).
    3. Nanyanzi, Alice & Barker, Kash & Radhakrishnan, Sridhar & Zhang, Zuyuan & Ramirez-Marquez, Jose, 2026. "Modeling the impact of disinformation on infrastructure networks: A node-to-path causal failure approach across interconnected layers," Reliability Engineering and System Safety, Elsevier, vol. 268(C).
    4. Dong, Bingchen & Liang, Zhenglin, 2026. "A novel method for reliability design of multi-tier circular (k,Smin)-out-of-(n1,…,nm,S): G balanced systems subject to external disturbances," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
    5. Saei, Saviz & Barker, Kash & Tajik, Nazanin & Ermagun, Alireza, 2026. "On topological measures and network vulnerability patterns: A comparative analysis," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
    6. Li, Xiaolong & Li, Wenyi & Wang, Nana, 2026. "Resilience-oriented optimal allocation of renewable energy source capacity in cyber-physical power systems," Reliability Engineering and System Safety, Elsevier, vol. 265(PB).
    7. Xing, Zheng & Zhou, Chenhao & Shen, Yu & Chew, Ek Peng & Tan, Kok Choon, 2026. "Optimizing port system resilience through integrated preparedness and recovery strategies," Reliability Engineering and System Safety, Elsevier, vol. 266(PB).

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