Fuzzy Logic based Dynamic Spectrum Allocation in Wireless Communication
Sandeep Kumar Sunori, Priyanka Joshi, Amit Mittal, Pradeep Kumar Juneja · 2025
Dynamic spectrum allocation (DSA) refers to attaining efficient utilization of spectrum according to the fluctuating network conditions. This work is presenting Fuzzy Logic based DSA with a goal of addressing the challenges caused by fluctuating interference levels, traffic load, and user demands. An FIS (Fuzzy Inference System) has been designed in MATLAB to achieve this goal. The rules for this FIS have been formulated to take care of various network conditions, guaranteeing optimal allocation in a variety of conditions. The developed fuzzy inference system is validated comparing the simulated output with the actual spectrum values. The key metrices in terms of which the performance is evaluated are MAE, MSE, RMSE, and R2. The final results exhibited an encouraging predictive accuracy. This research outlines the robustness and interpretability of fuzzy logic in the domain of spectrum management in wireless communication.