Please use this identifier to cite or link to this item:
|Title:||Generalized Maximal Ratio Combining as a Supra-optimal Receiver Diversity Scheme||Authors:||Daba, Jihad S.
|Affiliations:||Department of Electrical Engineering
Department of Computer Engineering
|Keywords:||Bit error rate
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||Abstract:||
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.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/2034||Open URL:||Link to full text||Type:||Journal Article|
|Appears in Collections:||Department of Electrical Engineering|
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.