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2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Training Interval Length Optimization for MIMO Flat Fading Channels Using Decision-Directed Channel Estimation
Marrakech, Morocco
October 12-October 14
ISBN: 978-0-7695-3841-9
ASCII Text
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Imed Hadj-Kacem, Noura Sellami, Inbar Fijalkow, Aline Roumy, "Training Interval Length Optimization for MIMO Flat Fading Channels Using Decision-Directed Channel Estimation," Wireless and Mobile Computing, Networking and Communication, IEEE International Conference on, pp. 24-29, 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2009.
 
 
BibTex
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@article{ 10.1109/WiMob.2009.88,
author = {Imed Hadj-Kacem and Noura Sellami and Inbar Fijalkow and Aline Roumy},
title = {Training Interval Length Optimization for MIMO Flat Fading Channels Using Decision-Directed Channel Estimation},
journal ={Wireless and Mobile Computing, Networking and Communication, IEEE International Conference on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3841-9},
pages = {24-29},
doi = {http://doi.ieeecomputersociety.org/10.1109/WiMob.2009.88},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Wireless and Mobile Computing, Networking and Communication, IEEE International Conference on
TI - Training Interval Length Optimization for MIMO Flat Fading Channels Using Decision-Directed Channel Estimation
SN - 978-0-7695-3841-9
SP24
EP29
A1 - Imed Hadj-Kacem,
A1 - Noura Sellami,
A1 - Inbar Fijalkow,
A1 - Aline Roumy,
PY - 2009
VL - 0
JA - Wireless and Mobile Computing, Networking and Communication, IEEE International Conference on
ER -
 
In this paper, we address the problem of optimization of the training sequence interval for MIMO (Multiple- Input Multiple-Output) flat fading channels when an iterative receiver composed of a likelihood generator and a Maximum A Posteriori (MAP) decoder is used. At each iteration of the receiver, the channel is estimated using the hard decisions on the transmitted symbols at the output of the decoder. The optimal length of the training interval is found by maximizing an effective signal-to-noise ratio (SNR) taking into account the data throughput loss due to the use of pilot symbols.
Citation:
Imed Hadj-Kacem, Noura Sellami, Inbar Fijalkow, Aline Roumy, "Training Interval Length Optimization for MIMO Flat Fading Channels Using Decision-Directed Channel Estimation," wimob, pp.24-29, 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2009
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