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Cognitive radio (CR) is a key enabler of wireless in industrial applications especially for those with strict quality-of-service (QoS) requirements. The cornerstone of CR is spectrum occupancy prediction that enables agile and proactive spectrum access and efficient utilization of spectral resources. Hidden Markov Models (HMM) provide powerful and flexible tools for statistical spectrum prediction...
Realistic traffic modeling plays a key role in efficient Dynamic Spectrum Access (DSA) which is considered as enabler for the employment of wireless technologies in critical industrial automation applications (IAA). The majority of models of spectrum usage are not suitable for this specific use case as they are based on measurement campaigns conducted in urban or controlled laboratory environments...
In factory automation where reliable low-delay communication is essential to maintain the required Quality of Service (QoS), efficient medium access schemes play quite an important role. Therefore we propose a centralized cognitive medium access method that utilizes prediction of whitespaces to avoid collisions as well as improve utilization of transmission opportunities. Our simulation results show...
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