Using Innovative Differential Evolution Algorithm for OFDM Reducing PAPR

In this paper, tone injection (TI) based on differential evolution algorithm (DE) is proposed to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. TI is a distortionless PAPR reduction technique, but its high search complexity for finding opt...

Full description

Saved in:
Bibliographic Details
Published in2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing pp. 632 - 636
Main Authors Shu-Hong Lee, Ho-Lung Hung
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2013
Subjects
Complexity theory
Differential evolution algorithm
Optimization
Orthogonal frequency division multiplexing
Partial transmit sequences
Peak to average power ratio
Peak-to-average power ratio reduction
Quadrature amplitude modulation
Tone injection
Online AccessGet full text

Cover

More Information
Summary:In this paper, tone injection (TI) based on differential evolution algorithm (DE) is proposed to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. TI is a distortionless PAPR reduction technique, but its high search complexity for finding optimal TI scheme requires an exhaustive search over all combinations of possible permutations of the expanded constellation, which is a potential problem for practical applications. In this work we present a novel convex optimization approach to numerically determine the near-optimal tone injection (TI) solution based on a differential evolution algorithm (DETI). DETI is compared to different TI schemes for PAPR reduction and search complexity performances. The simulation results show that the proposed DETI method provides good PAPR reduction and bit error-rate (BER) performances. Finally, the DETI algorithm not only reduces the PAPR significantly, but also decreases the computational complexity. The simulation results show that it achieves more or less the same PAPR reduction as that of exhaustive search.
DOI:10.1109/IMIS.2013.113