Open AccessApproximation for the ML detector in decode and forward relay networks and the effect of channel estimation error
Author(s) -
Neinavaie Mohammad,
Zolghadrasli Ali Reza,
Derakhtian Mostafa
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5341
Subject(s) - detector , relay , channel (broadcasting) , maximal ratio combining , algorithm , computer science , sensitivity (control systems) , diversity gain , statistics , mathematics , telecommunications , electronic engineering , physics , fading , engineering , power (physics) , quantum mechanics
The cooperative maximum ratio combiner (C‐MRC) is able to collect the maximum available diversity in decode and forward (DF) relay networks, and is simple to be implemented relative to the maximum likelihood (ML) detector. In this study, the authors provide some approximations for the ML detector, and they prove that the well‐known C‐MRC detector which was considered to be an intuitive method is, indeed, a linear approximation for the ML detector in DF relay networks. They also study the performance of the approximated ML detector in the presence of channel estimation error. This study determines the sensitivity of the diversity gain achieved by the approximated ML detector to the channel estimation error. Simulation results are also presented to corroborate the derived analytical results.