Title :
Estimation of Nakagami fading channel parameters with application to optimized transmitter diversity systems
Author :
Ko, Young-Chai ; Alouini, Mohamed-Slim
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
An optimum power loading algorithm for transmitter diversity systems over correlated and unbalanced Nakagami (1960) paths and its performance evaluation under perfect channel estimation conditions are derived. In addition, various on-line estimators of the required Nakagami channel parameters for optimized power loading and the comparison of their mean square error via Monte Carlo simulations are presented. These estimators are used to obtain the performance of optimized transmitter diversity systems under imperfect channel estimation (ICE). These numerical results show that the diversity gain achieved by these optimized systems increases as the severity of fading decreases and as the degree of branch unbalance increases even under ICE. On the other hand, in weakly correlated and/or unbalanced branches, optimized transmitter diversity systems offer negligible gain or even losses compared to unoptimized systems because of the ICE
Keywords :
Monte Carlo methods; diversity reception; error statistics; fading channels; mean square error methods; optimisation; parameter estimation; radio transmitters; Monte Carlo simulations; Nakagami fading channel parameters estimation; average bit-error probability; correlated Nakagami paths; correlation coefficient; diversity gain; fading gain; imperfect channel estimation; mean square error; on-line estimators; optimized power loading; optimized transmitter diversity systems; optimum power loading algorithm; perfect channel estimate conditions; performance evaluation; unbalanced Nakagami paths; unbalanced branches; weakly correlated branches; Application software; Channel estimation; Diversity methods; Diversity reception; Fading; Ice; Receiving antennas; Signal to noise ratio; Transmitters; Transmitting antennas;
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
DOI :
10.1109/ICC.2001.937082
