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Title: Generalized maximal ratio combining as a supra-optimal receiver diversity scheme
Authors: Daba, Jihad S. 
Minkara, Rania
Ayoubi, Rafic 
Affiliations: Department of Electrical Engineering 
Department of Computer Engineering 
Keywords: Bit error rate
Femto-internet cells
Generalized maximal ratio combining
Signal-to-scattering noise ratio
Issue Date: 2010
Part of: Journal of world academy of science engineering and technology
Volume: 4
Issue: 8
Start page: 907
End page: 911
Maximal Ratio Combining (MRC) is considered the most complex combining technique as it requires channel coefficients estimation. It results in the lowest bit error rate (BER) compared to all other combining techniques. However the BER starts to deteriorate as errors are introduced in the channel coefficients estimation. A novel combining technique, termed Generalized Maximal Ratio Combining (GMRC) with a polynomial kernel, yields an identical BER as MRC with perfect channel estimation and a lower BER in the presence of channel estimation errors. We show that GMRC outperforms the optimal MRC scheme in general and we hereinafter introduce it to the scientific community as a new "supraoptimal" algorithm. Since diversity combining is especially effective in small femto- and pico-cells, internet-associated wireless peripheral systems are to benefit most from GMRC. As a result, many spinoff applications can be made to IP-based 4th generation networks.
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Electrical Engineering

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