Title :
Channel estimation and prediction for adaptive OFDMA/TDMA uplinks, based on overlapping pilots
Author :
Sternad, Mikael ; Aronsson, Daniel
Author_Institution :
Signals & Syst., Uppsala Univ., Sweden
Abstract :
In adaptive wireless packet transmission for multiple users, resources are allocated based on measurement and feedback of the channel qualities. Uplink channels of adaptive OFDM systems that use FDD have to be estimated and predicted based on uplink pilots transmitted by all active users. To prevent a prohibitive pilot overhead, the use of overlapping (simultaneously transmitted) pilots is considered. Kalman estimators and predictors can efficiently utilize the channel correlation in time and frequency to obtain estimates. The estimates have higher error than in the downlink case where overlapping pilots are not needed. However, the estimation and prediction MSE increases rather slowly with the number of simultaneous users. The results indicate that the accuracy is adequate for control of an adaptive transmission loop.
Keywords :
Kalman filters; OFDM modulation; Rayleigh channels; channel estimation; frequency division multiple access; mean square error methods; mobile radio; packet radio networks; prediction theory; resource allocation; time division multiple access; Kalman estimators; Kalman filter equations; Kalman predictors; MSE; Rayleigh fading channels; adaptive OFDM systems; adaptive OFDMA/TDMA uplinks; adaptive wireless packet transmission; channel correlation; channel estimation; channel prediction; mobiles; overlapping pilots; resource allocation; Adaptive systems; Channel estimation; Downlink; Feedback; Frequency estimation; Kalman filters; OFDM; Programmable control; Resource management; Time division multiple access;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415846