DocumentCode
244359
Title
On the Performance of Doubly-Selective Fading Estimations in High Mobility Systems
Author
Ning Sun ; Jingxian Wu
Author_Institution
Dept. of Electr. Eng., Univ. of Arkansas, Fayetteville, AR, USA
fYear
2014
fDate
18-21 May 2014
Firstpage
1
Lastpage
5
Abstract
This paper studies the theoretical performance of channel estimations in high mobility wireless communication systems operating with doubly-selective (both time-selective and frequency-selective) fading. High mobility communications result in fast time-selective fading with a Doppler spread as high as a few kilo-Hertz. The fast fading variation can be estimated and tracked with pilot-assisted minimum mean squared error (MMSE) channel estimation. The percentage of pilot symbols among the transmitted symbols plays a critical role. A higher pilot percentage can lead to a better channel estimation, but also more overhead. The impacts of the pilot percentage on channel estimations are identified through the derivation of the asymptotic mean squared error (MSE) of channel estimations. The results are expressed as a closed-form expression of various system parameters, including the pilot percentage, the maximum Doppler spread, the signal-to-noise ratio (SNR), etc.
Keywords
channel estimation; fading channels; least mean squares methods; mobility management (mobile radio); SNR; asymptotic MSE; asymptotic mean squared error; channel estimations; doubly-selective fading estimations; fast fading variation; frequency-selective fading; high mobility wireless communication systems; maximum Doppler spread; pilot percentage; pilot-assisted MMSE channel estimation; pilot-assisted minimum mean squared error channel estimation; signal-to-noise ratio; time-selective fading; Channel estimation; Correlation; Doppler effect; Estimation; Fading; OFDM; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th
Conference_Location
Seoul
Type
conf
DOI
10.1109/VTCSpring.2014.7023018
Filename
7023018
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