Fuzzy Set of Rules for Optimal Adaptive Selection of OFDM order And FFT Size for NB-IOT

The huge growth is being observed in case of Narrow-Band-IOT (NB-IOT) based futuristic communication technology. The sharing of spectrum is the primary benefit. The system makes use of the 5G mobile communication spectrum that is freely available. When using any kind of communication technology, the physical layer is mostly in charge of data communication. The objective of this work is to enhance the effectiveness of OFDM, which serves as the physical layer of the NB-IOT, a futuristic approach. In the end, fast Fourier transform (FFT) is used to generate orthogonal frequencies, which forms the foundation of OFDM. Increasing the modulation order also addresses the excess signal transition need. In order to construct an efficient OFDM system, the goal of this research is to define a fuzzy set of guidelines for the best selection of the modulation order and the FFT size. These fuzzily defined criteria might provide improved capacity and bandwidth efficiency. A is taken into account to deal with these issues. Selecting the lower order modulation and ideal FFT size in accordance with data need is suggested. The BER parameter is chosen for performance assessment, considering modulation parameters, FFT sizes, and signal duration’s impacts. The research suggests increasing FFT size and order modulation to accommodate increased capacity and demand, while comparing the BER efficiency of M-QAM and M-PSK modulation schemes.