DocumentCode
2498603
Title
ANN based Rayleigh multipath fading channel estimation of a MIMO-OFDM system
Author
Sarma, Kandarpa Kumar ; Mitra, Abhijit
Author_Institution
Dept. of Electron., Gauhati Univ., Guwahati, India
fYear
2009
fDate
3-5 Nov. 2009
Firstpage
1
Lastpage
5
Abstract
Multiple-input multiple-output (MIMO) technology using orthogonal frequency division multiplexing (OFDM) together called MIMO-OFDM has emerged as the viable alterative to meet the demands of greater bandwidth and quality of service of the ever expanding mobile communication networks. For MIMO-OFDM systems channel estimation is one of the challenging issues. Statistical characteristics of wireless channels is partially covered by the Rayleigh distribution. It best represents the condition where there are secondary reflections due to high rise structures are always threatening to degrade communication quality. An ANN can be used to provide an estimate of the channel to minimize some of the deficiencies of multi-user transmission under Rayleigh multipath fading. The ANN can be trained to tackle such fading and associated disturbance and improve reception of MIMO-OFDM systems by providing superior bit error rate (BER)s.
Keywords
MIMO communication; OFDM modulation; Rayleigh channels; error statistics; mobile communication; neural nets; quality of service; telecommunication computing; wireless channels; MIMO-OFDM system; Rayleigh distribution; Rayleigh multipath fading channel estimation; artificial neural network; bit error rate; mobile communication networks; quality of service; statistical characteristics; wireless channels; Bandwidth; Channel estimation; Degradation; Fading; MIMO; Mobile communication; OFDM; Quality of service; Rayleigh channels; Reflection;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet, 2009. AH-ICI 2009. First Asian Himalayas International Conference on
Conference_Location
Kathmandu
Print_ISBN
978-1-4244-4569-1
Electronic_ISBN
978-1-4244-4570-7
Type
conf
DOI
10.1109/AHICI.2009.5340306
Filename
5340306
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