Title :
Adaptive modulation in an OFDM communications system with artificial neural networks
Author :
Kassab, John ; Nagaraj, Santosh
Author_Institution :
Electr. & Comput. Eng., San Diego State Univ., San Diego, CA, USA
Abstract :
In order to combat fading in an OFDM communications system, adaptive modulation techniques have been employed which can improve the performance. We propose that an artificial neural network (ANN) can be inserted in an OFDM system that would provide the information necessary to perform an adaptive modulation of the subcarriers. The performance of the system is evaluated in terms of symbol error probability. The results of our simulations allow us to validate our hypothesis.
Keywords :
OFDM modulation; adaptive modulation; error statistics; fading channels; learning (artificial intelligence); neural nets; OFDM communication system; adaptive modulation technique; artificial neural network; fading channel; symbol error probability; Artificial neural networks; Binary phase shift keying; Delay; Error probability; Fading; Frequency estimation; Interference; OFDM modulation; Performance gain; Protocols;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178657
