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Conference Papers Year : 2023

Measuring 5G-RAN resilience using coverage and quality of service indicators


Resilience is defined as the ability of a network to resist, adapt to and quickly bounce back from disruptions, to continue keeping an acceptable level of service from users' perspective. To characterize and analyse the resilience of a 5G Radio Access Network, it is vital to be able to measure current and prospective resiliency levels using relevant metrics. In this work, we perform an analysis and a quantification of 5G-RAN resilience based on radio coverage indicator and one of the Quality of Service indicators, namely the service integrity. They are considered as the main performance indicators for network planners and operators. In this objective, we model network states using the performance indicators, Reference Signal Received Power and Received User Equipment Throughput. Then, we use them to build Markovian models and to define resilience metrics. By means of simulations, we evaluate the ability of our analytical model to accurately capture network resiliency levels. We discuss numerical results from multiple usage scenarios to show how the resilience metrics can be used to identify potential outages and to help network planners or operators deciding on which adequate adaptive resilient mechanisms to deploy.
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hal-04139809 , version 1 (23-06-2023)





Soumeya Kaada, Marie Line Alberi Morel, Gerardo Rubino, Sofiene Jelassi. Measuring 5G-RAN resilience using coverage and quality of service indicators. NOMS 2023 - IEEE/IFIP Network Operations and Management Symposium, May 2023, Miami (FL), United States. pp.1-7, ⟨10.1109/NOMS56928.2023.10154368⟩. ⟨hal-04139809⟩
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