Performance Analysis for Papr Reduction by Stochastic HNN with Soft Decision Feedback

Author

Wang, Haiming ; Hu, Wujie

Author_Institution

Nokia Res. Center, Beijing

fYear

2006

fDate

11-14 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

This paper proposes a new approach to reduce the PAPR with a new adaptive soft feedback stochastic Hopfield neural network (S-HNN). By adopting new neural output function and random state disturbance, the PAPR performance is improved greatly. Furthermore, it can be implemented easily compared to the traditional HNN method. By parameter adjustment, the lowest PAPR can be found. So it is an effective and practical algorithm for OFDM system

Keywords

Hopfield neural nets; OFDM modulation; stochastic processes; telecommunication computing; OFDM system; PAPR reduction; adaptive soft feedback stochastic Hopfield neural network; neural output function; orthogonal frequency division multiplexing; peak-to-average power ratio; random state disturbance; soft decision feedback; stochastic HNN; Feedback; Helium; Land mobile radio; Mobile communication; Neurofeedback; OFDM modulation; Partial transmit sequences; Peak to average power ratio; Performance analysis; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on

Conference_Location

Helsinki

Print_ISBN

1-4244-0329-4

Electronic_ISBN

1-4244-0330-8

Type

conf

DOI

10.1109/PIMRC.2006.254352

Filename

4022684