Abstract
Spectrum availability and network reliability both are the crucial aspects in Cognitive Radio Networks (CRNs) to ensure ultra-reliable communication (URC). Therefore, the current research work aims to perform an in-depth dependability theory-based analysis for cognitive system availability and reliability. In our analysis, the impact of random channel failures and their recovery on the CRN system is investigated. Also, the system facilitates the arrival of heterogeneous secondary users and encompasses a multi-level channel reservation feature. The whole system is modeled using Continuous Time Markov Chain (CTMC) and mathematical expressions are derived for several transient dependability metrics utilizing the uniformization tool. Performance of the system is evaluated under various network conditions. Results demonstrate that the channel reservation might not necessarily provide improved performance as suggested in the sate-of-the-art, contrarily, its success highly depends on the network load and the time elapsed. Moreover, the availability and reliability provided to end users are also significantly impacted by the channel failure rate and recovery rate at higher time points.
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Goel, S., Kulshrestha, R. Dependability-Based Analysis for Ultra-reliable Communication in Heterogeneous Traffic Cognitive Radio Networks with Spectrum Reservation. Wireless Pers Commun 127, 3015–3039 (2022). https://doi.org/10.1007/s11277-022-09908-3
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DOI: https://doi.org/10.1007/s11277-022-09908-3