A Fuzzy-Based System for Selection of Radio Access Technology in 5G Wireless Networks Considering RAT Load as a New Parameter

The 5th Generation (5G) technology offers unprecedented data speeds, lower latency, and the ability to connect more devices simultaneously. However, there are new challenges and problems which come with these advancements. Selecting the most suitable Radio Access Technology (RAT) involves numerous factors, making this task computationally complex and is considered NP-hard. The RAT Load (RL) is a crucial component of RAT selection, handling the connection between user devices and the network core, facilitating communication and data transfer. RAT with less load ensures reliable service without degradation of the performance. In this paper, we proposed a Fuzzy-based RATs Selection System considering RL (FRSSRL) for 5G wireless networks. We considered four parameters: Coverage (CV), User Priority (UP), Spectral Efficiency (SE) and RL, which is a new input parameter for calculating RAT Decision Value (RDV). From the simulation results, we found that when CV, UP, and SE are increasing, the RDV parameter is increased, but when RL is increasing, the RDV parameter is decreased.