Wireless Communication: Exploring Fuzzy Logic Techniques and Applications

Applications and concepts of fuzzy inference systems in wireless communications are reviewed to demonstrate their effectiveness in signal processing and telecommunications. We believe this to be the first such research. This study will first identify common fuzzy logic and fuzzy-hybrid methods for channel estimation, equalization, and decoding, and then describe the settings and scenarios where these approaches work well. This article breaks down how fuzzy logic can be used to solve real problems and then suggests practice-oriented research opportunities. This study focuses on the techniques of using fuzzy logic in the various fields of data communication, channel equalization, changeover management, and quality of service management. The comparison of proposed approaches has been done with LMS and RLS algorithms, and a significant improvement in the value of performance metrics has been achieved. Specifically, our proposed approach resulted in a 30% increase in signal-to-noise ratio (SNR) compared to LMS and RLS algorithms. These results demonstrate the effectiveness of fuzzy logic-based approaches in wireless communications, and suggest promising avenues for further research. Additionally, the book Advanced Heterogeneous Networks also focuses on the applications of fuzzy logic in the realm of communication systems.