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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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Adaptive Modulation of OFDM by using Radial Basis Function Neural Network

PARMINDER KAUR, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India Assistant Professor, Department of ECE, Regional Campus Guru Nanak Dev University, Sulatnpur Lodhi, India Assistant Professor, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India

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Abstract: 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.

Keywords: Adaptive Modulation, Orthogonal Frequency Division Multiplexing (OFDM), Radial Basis Function Neural Network (RBFNN), Mean Square Error (MSE), Classification Accuracy.

How to Cite:

[1] PARMINDER KAUR, KULDEEP SINGH, HARDEEP KAUR M.Tech Student, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India Assistant Professor, Department of ECE, Regional Campus Guru Nanak Dev University, Sulatnpur Lodhi, India Assistant Professor, Department of Electronics Technology, Guru Nanak Dev University, Amritsar, India, β€œAdaptive Modulation of OFDM by using Radial Basis Function Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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