Title :
Signal-to-interference ratio estimation based on decision feedback
Author :
Jeske, Daniel R. ; Sampath, Ashwin
Author_Institution :
Lucent Technol. Bell Labs, Holmdel, NJ, USA
Abstract :
Signal-to-interference ratio (SIR) is an important metric of communication link quality. For wireless data systems SIR estimates are used in several control actions and for optimal allocation of radio resources. This paper first develops a new SIR estimator based on data symbols and then derives an approximate analytic expression for its mean squared error (MSE) function, the accuracy of which is validated using simulations. Results show that the MSE of the new SIR estimator is significantly smaller than the MSE of other widely used SIR estimators
Keywords :
AWGN; data communication; feedback; mean square error methods; parameter estimation; phase shift keying; radio links; radiofrequency interference; AWGN; BPSK; MSE function; SIR estimator; additive white Gaussian noise; approximate analytic expression; binary phase shift keying; communication link quality; data symbols; decision feedback; mean squared error; optimal radio resources allocation; signal-to-interference ratio estimation; simulations; wireless data systems; AWGN; Additive white noise; Binary phase shift keying; Data systems; Feedback; Gaussian noise; Interference; Optimal control; Power control; Random variables;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
Conference_Location :
Rhodes
Print_ISBN :
0-7803-6728-6
DOI :
10.1109/VETECS.2001.944048
