A fuzzy logic algorithm for RATs selection procedures

NextG Networks are predicted to be heterogeneous in nature, due to the coexistence of different Radio Access Technologies (RATs). The coexistence of different RATs requires a need for Common Radio Resource Management (CRRM) to support the provision of QoS and the efficient utilization of radio resources. RAT selection algorithms are part of the Joint RRM algorithms. Simply, their role is to decide which of the available RATs is most suitable to fit the user to the best connection. Guaranteeing the requirements of QoS and most efficient utilization of the available radio resources are the goals of the RAT selection algorithms. Therefore, there is a need to develop such algorithms for the heterogeneous wireless networks. In this paper, we propose an approach for RAT selection algorithm developed by fuzzy logic and includes different criteria, assessing and making decisions, then selecting the most suitable technology.