DocumentCode
2707113
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
fYear
2009
fDate
14-19 June 2009
Firstpage
1547
Lastpage
1551
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5178657
Filename
5178657
Link To Document