A Comparison Study of a Fuzzy-Based Simulation System and Testbed for Selection of Radio Access Technologies in 5G Wireless Networks

The advent of 5th Generation (5G) wireless networks marks a significant leap forward in communications technology, supporting a vast array of services and applications that will profoundly impact various facets of life, including entertainment and transportation. 5G networks promise major improvements in reliability, data throughput, latency reduction, and enhanced mobility. They will feature a wide array of Radio Access Technologies (RATs), supported by a range of Base Stations (BSs) that span technologies from GSM to Wi-Fi. This technological diversity is key to fulfilling the promise of 5G in providing ubiquitous, high-quality wireless service across different environments and applications. In order to address this challenge, this paper presents a comparison study between a Fuzzy-based simulation system and a testbed for RAT selection in 5G networks. The system and testbed take into account three input parameters: Coverage (CV), User Priority (UP), and Spectral Efficiency (SE), which influence the Radio Access Technology Decision Value (RDV). The evaluation results show that experimental results were very close and have the same tendency with simulated results.