Title :
Estimating local mean signal power level in a Rayleigh fading environment
Author :
Wong, Daniel ; Cox, Donald C.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
5/1/1999 12:00:00 AM
Abstract :
Good estimates of local mean signal power level are needed by wireless cellular systems for use in channel access, power control and handoff. Many systems today use weighted sample average estimators which are not optimal in Rayleigh fading environments. The optimal local mean signal level estimator for the Rayleigh fading environment is derived and compared with the sample average estimator
Keywords :
Rayleigh channels; cellular radio; parameter estimation; power control; signal sampling; statistical analysis; Rayleigh distribution; Rayleigh fading environment; channel access; handoff; local mean signal power level estimation; optimal local mean signal level estimator; power control; sample average estimator; weighted sample average estimators; wireless cellular systems; Fading; Fluctuations; GSM; Parameter estimation; Power control; Power system modeling; Rayleigh channels; Signal processing; Wireless cellular systems; Wireless communication;
Journal_Title :
Vehicular Technology, IEEE Transactions on
