Paper “Distributed Spectrum Management in Cognitive Radio Networks by Consensus-Based Reinforcement Learning“, by D. Dašić, N. Ilić, M. Vučetić, M. Perić, M. Beko and M.S. Stanković, has been published in journal Sensors!

In the paper, the authors proposed a new algorithm for distributed spectrum management in Cognitive Radio Networks (CRN) based on a multi-agent reinforcement learning scheme. The paper presents a detailed discussion and analysis of the algorithm’s properties, together with extensive simulations illustrating the effectiveness and advantages of the proposed scheme.