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Extreme learning machine-based receiver for MIMO LED communications

Journal Article


Abstract


  • This work concerns receiver design for light-emitting diode (LED) multiple input multiple output (MIMO) communications where the LED nonlinearity can severely degrade the performance of communications. We firstly propose an extreme learning machine (ELM) based receiver to jointly handle the LED nonlinearity and cross-LED interference. Then, by taking advantage of the features of the ELM, we propose to use a circulant structure for the input weight matrix and the fast Fourier transform (FFT) for implementation, leading to significant computational complexity reduction. It is demonstrated that, the proposed ELM based receivers can handle the nonlinearity and interference much more effectively compared to conventional techniques, and the low complexity ELM-based receiver with circulant input matrix delivers almost the same performance as the receiver based on the conventional ELM.

UOW Authors


Publication Date


  • 2019

Citation


  • D. Gao & Q. Guo, "Extreme learning machine-based receiver for MIMO LED communications," Digital Signal Processing: A Review Journal, vol. 95, pp. 102594-1-102594-6, 2019.

Scopus Eid


  • 2-s2.0-85073037055

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3291

Start Page


  • 102594-1

End Page


  • 102594-6

Volume


  • 95

Place Of Publication


  • United States

Abstract


  • This work concerns receiver design for light-emitting diode (LED) multiple input multiple output (MIMO) communications where the LED nonlinearity can severely degrade the performance of communications. We firstly propose an extreme learning machine (ELM) based receiver to jointly handle the LED nonlinearity and cross-LED interference. Then, by taking advantage of the features of the ELM, we propose to use a circulant structure for the input weight matrix and the fast Fourier transform (FFT) for implementation, leading to significant computational complexity reduction. It is demonstrated that, the proposed ELM based receivers can handle the nonlinearity and interference much more effectively compared to conventional techniques, and the low complexity ELM-based receiver with circulant input matrix delivers almost the same performance as the receiver based on the conventional ELM.

UOW Authors


Publication Date


  • 2019

Citation


  • D. Gao & Q. Guo, "Extreme learning machine-based receiver for MIMO LED communications," Digital Signal Processing: A Review Journal, vol. 95, pp. 102594-1-102594-6, 2019.

Scopus Eid


  • 2-s2.0-85073037055

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3291

Start Page


  • 102594-1

End Page


  • 102594-6

Volume


  • 95

Place Of Publication


  • United States