Perforance Evaluation of Memory-less and
Kalman-based Channel Estimation for OFDMA.
, Uppsala University,
Tommy Svensson, Chalmers, and
, Uppsala University.
IEEE Vehicular Technology Conference VTC-Spring 2009
Barcelona, April 2009.
© 2009 IEEE
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.
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.
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.
Channel estimation and prediction for adaptive OFDM
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.
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