T. Ekman, "Prediction of mobile radio channels - modeling and design," Ph.D. dissertation, Uppsala University, Uppsala, Sweden, 2002. Home/Search Document Details and Download
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Adaptive Trellis Coded Modulation over Predicted.. - Falahati, Hong.. (2003) (Correct)
.... over all values of , i.e. d ] 9 3 S d q9D :9 3 : 9 3 9 en e (3) 9 3 is the pdf of conditioned on unbiased power predictor used here [4] provides the pdfs V q9 : 983 T for a given prediction MSE variance, denoted by and average SNR, denoted by [5]. Given that, what remains is to find an expression for 4acb d q9 :983 . Tight approximations for the TCM BER performance on AWGN channels at high SNR, based on analytical or numerical methods, are available in the literature. However, to perform the integration in (3) an expression which ....
T. Ekman, "Prediction of Mobile Radio Channels, Modeling and Design," PhD thesis, Signals and Systems, Uppsala University, Uppsala, Sweden. http://www.signal.uu.se/Publications/abstracts/a023.html, Oct. 2002.
Adaptive Modulation Systems for Predicted Wireless.. - Falahati, Svensson.. (2002) Self-citation (Ekman) (Correct)
....the channel should be taken into account. In [9] adaptive modulation schemes based on very accurate long rang CSI prediction are investigated. The system proposed here utilizes an unbiased quadratic regression of historic noisy channel estimates to predict the signal power at the receiver [10] [11]. For this type of predictor, there exists a statistical model for the prediction error for Rayleigh fading channels which enables an analytical optimization of the rate adaptation scheme. This statistical model will also be used for analyzing the resulting BER and spectral efficiency for given ....
....expressed in terms of the MSE optimal linear FIR channel predictor as # # ##### # ## . The bias compensation will reduce the total prediction MSE and provides superior performance as compared to the use of linear power predictors that are based on channel power samples # as regressors [11]. For a given prediction # # ##### , the conditional power prediction error variance, is given by [11] # ## ### ##### ### # # #### ##### # # ## (10) If we average over the predicted power in (10) we obtain # # #### # # ## (11) since, with the unbiased predictor, #### ##### # ....
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T. Ekman, "Prediction of Mobile Radio Channels, Modeling and Design, " PhD thesis, Signals and Systems, Uppsala University, Uppsala, Sweden. http://www.signal.uu.se/Publications/abstracts/a023.html, Oct. 2002.
Time-Variant Channel Prediction Using.. - Zemen.. (2006) (Correct)
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T. Ekman, "Prediction of mobile radio channels - modeling and design," Ph.D. dissertation, Uppsala University, Uppsala, Sweden, 2002.
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