A Fuzzy-Based Approach for Selection of Radio Access Technologies in 5G Wireless Networks

The 5-th Generation (5G) heterogeneous networks are expected to provide dense network services and a plethora of different networks for fulfilling the user requirements and are supposed to give User Equipment (UE) the ability to connect with the appropriate Radio Access Technology (RAT). However, for the selection of RAT many parameters should be considered, which make the problem HP-hard. For this reason, in this paper, we propose a Fuzzy-based RATs Selection System (FRSS) considering three parameters: Coverage (CV), User Priority (UP) and Spectral Efficiency (SE). From simulation results, we found that when CV, UP and SE are increased, the RAT Decision Value (RDV) parameter value is increased.