Resilience analysis and quantification method for 5G-Radio Access Networks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

Resilience analysis and quantification method for 5G-Radio Access Networks


A 5G Radio Access Network (5G-RAN) can be disturbed or shutdown due to a variety of failures, in spite of advanced optimization techniques and self-healing methods. Recently, operators started to take an interest in improving the resilience of communication networks with adaptive compensation techniques to mitigate outageinduced performance degradation. However, for the sake of effective and efficient resilience management, it is vital to be able to measure current and prospective resiliency levels of a given 5G-RAN using relevant and explicit metrics. Thus, the characterisation of resilience goes over a thorough analysis of 5G-RAN performance indicators followed by a rigorous quantification of current and future levels of resilience. In this work, we perform an analysis and a quantification of 5G-RAN resilience using a coverage indicator. It is known as a main performance indicator for network planners and operators, coverage is a necessary prerequisite to ensure a certain level of Quality of Service. For that, we model the network coverage using Continuous Time Markov Chains (CTMCs) where coverage status is characterized with multiple states defined with Reference Signal Received Power (RSRP) signal. The proposed Markov model is analytically studied allowing to perform quantitative analysis, predict coverage outage and provide resilience quantification. Using our model, we conduct numerical analysis of several usage scenarios and propose a resilience framework to show the usability of our proposed approach.
Fichier principal
Vignette du fichier
NoF22hal.pdf (816.81 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03898621 , version 1 (14-12-2022)



Soumeya Kaada, Marie Line Alberi Morel, Gerardo Rubino, Sofiene Jelassi. Resilience analysis and quantification method for 5G-Radio Access Networks. NoF 2022 - 13th International Conference on Network of the Future, Oct 2022, Ghent, Belgium. pp.1-14, ⟨10.1109/NoF55974.2022.9942669⟩. ⟨hal-03898621⟩
56 View
51 Download



Gmail Facebook Twitter LinkedIn More