A power control scheme with link gain prediction using PRNN/ERLS for DS-CDMA cellular mobile systems

Author

Hsieh, Yi-Lin ; Chang, Chung-Ju ; Chen, Yih-Shen

Author_Institution

Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

1

fYear

2003

fDate

11-15 May 2003

Firstpage

407

Abstract

In this paper, a link gain prediction-based power control scheme is designed for DS-CDMA cellular mobile systems. The link gain prediction can help to remove the interference of the power control adjustment itself. The pipeline recurrent neural network (PRNN) with extended recursive least square (ERLS) is adopted for the prediction. This PRNN/ERLS predictor possesses infinite memory of past signals so that it can capture precisely the signal correlation and improve the delay compensation of power control. Simulation results show that the link gain prediction-based power control scheme using PRNN/ERLS has lower outage probability than the received SIR prediction-based power control scheme using grey prediction method [S. L. Su, Y. C. Su, and J. F. Huang, November 2000] and improves the system capacity by an amount of 41.6%.

Keywords

cellular radio; code division multiple access; least squares approximations; mobile radio; power control; recurrent neural nets; recursive estimation; spread spectrum communication; telecommunication control; DS-CDMA cellular mobile system; delay compensation; extended recursive least square; link gain prediction; pipeline recurrent neural network; power control scheme; Base stations; Control systems; Delay; Interference; Least squares methods; Multiaccess communication; Pipeline processing; Power control; Predictive models; Recurrent neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2003. ICC '03. IEEE International Conference on

Print_ISBN

0-7803-7802-4

Type

conf

DOI

10.1109/ICC.2003.1204209

Filename

1204209