Signal-to-interference ratio estimation based on decision feedback

Author

Jeske, Daniel R. ; Sampath, Ashwin

Author_Institution

Lucent Technol. Bell Labs, Holmdel, NJ, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

2484

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd

Conference_Location

Rhodes

ISSN

1090-3038

Print_ISBN

0-7803-6728-6

Type

conf

DOI

10.1109/VETECS.2001.944048

Filename

944048