Towards A Multi-Objective Reinforcement Learning Based Routing Protocol for Cognitive Radio Networks
Chouaib Messikh, Nacer Eddine Zarour · 2018
Cognitive radio is a technology created to address the limits found in traditional technologies used nowadays, as we go towards more heterogeneous and autonomous ecosystems. In this work, we propose an interaction model for Cognitive Radio Networks. This model is based on the Multi-Objective Reinforcement Learning approach while taking into consideration the multiple application requirements that may differ from one node to another in the same network.