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Perforance Evaluation of Memory-less and 
Kalman-based Channel Estimation for OFDMA.
Daniel Aronsson
, Uppsala University, 
 Tommy Svensson, Chalmers, and
Mikael Sternad
, Uppsala University.
 
IEEE Vehicular Technology Conference VTC-Spring 2009
Barcelona, April 2009.
© 2009 IEEE
 
 
Abstract:
The next generation wireless systems based on 
Orthogonal Frequency Division Multiple Access (OFDMA)
need to operate in widely different deployment and usage scenarios. 
Thus, support for  flexible resource allocation is important.
In this paper we investigate the performance of different 
memoryless and memory-based channel estimators
 for different OFDMA subcarrier allocation schemes 
and different pilot patterns.
We evaluate the performance in various fading 
environments and for different user terminal velocities.
 
The results show that channel estimation can perform 
well enough for time-frequency localized resources as 
small as 22 channel symbols with two pilots 
in many important scenarios.
The results provided can be used to identify 
appropriate subcarrier allocations for the next
 generation OFDMA based wireless systems. 
Related publications:
Eurasip Wireless Com paper 2009, on 
block-IFDMA and block EFDMA,  proposed transmission schemes in which
these  channel estimation performance results are relevant.
Channel estimation and prediction
from a Bayesian perspective,
Licenciat Thesis by Daniel Aronsson, 2007.
IEEE PIMRC  2007, on prediction
of OFDMA uplinks in adaptive multiuser data transmission that use FDD.
Eusipco 2007
on the same topic, but focusing on comparing
the use of overlapping versus dedicated uplink pilots.
IST Mobile Summit 2005 paper
that describes adaptive TDMA/OFDMA downlink and 
uplink frequency-adaptive transmission.
IEEE ICASSP 2005:
Channel estimation and prediction for frequency-adaptive
   OFDMA/TDMA uplinks based on overlapping pilots. 
IEEE VTC-2003-Fall:
Channel estimation and prediction for adaptive OFDM
   downlinks.
Prediction of mobile radio channels, 
Ph.D. Thesis by Torbjörn Ekman 2002.
Proceedings of the IEEE 
paper (2007) giving overview of adaptive 
transmission in OFDMA systems.
Source:
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