Adaptive Modulation of OFDM by using Radial Basis Function Neural Network

Adaptive communication is one of the methods used for high rate communication with efficient spectrum efficiency and with improved accuracy for future wireless communication systems. In this paper, we propose an adaptive modulated Orthogonal Frequency Division Multiplexing (OFDM) system based on Radial Basis Function (RBF) and then their performance (MSE) and classification accuracy is evaluated according to the number of neurons in the RBF network. Radial basis function (RBF) network which learns the features of M-QAM signal before reconstructing the correct signal under noisy conditions.