A new study by Dhaval Patel, Assistant Professor, School of Engineering and Applied Science, on estimating primary channel activity statistics in Cognitive Radio based on periodic spectrum sensing observations is published in IEEE Transactions on Wireless Communications. This is a collaborative study between Miguel López-Benítez, Department of Electrical Engineering and Electronics, University of Liverpool; Ahmed Al-Tahmeesschi, ARIES Research Centre, Antonio de Nebrija University; Janne Lehtomäki, Centre for Wireless Communications, University of Oulu; and Kenta Umebayashi, Graduate School of Engineering, Tokyo University of Agriculture and Technology.

The study provides a comprehensive set of closed-form expressions that can find a wide range of applications in the analysis, design, and simulation of Cognitive Radio systems. Moreover, several methods to minimise estimation errors and improve accuracy are proposed and validated with both simulations and hardware experiments.