High Peak-to-Average Power Ratio (PAPR) is one of the challenging issues of multicarrier communication systems, such as Orthogonal Frequency Division Multiplexing (OFDM) and Orthogonal Wavelet Division Multiplexing (OWDM). The high PAPR generates out-of-band energy and in-band distortion when OFDM/OWDM signal is transmitted through a nonlinear device, such as High-Power Amplifiers (HPA), Digital-to-Analog Converters (DAC) and Analog-to-Digital Converters (ADC). This article describes one of the important PAPR reduction techniques in multi-carrier modulation systems, including Partial Transmit Sequence (PTS). In PTS technique, the high computational complexity for searching the optimal phase factors should be reduced. Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are applied to reduce the complexity and PAPR. The obtained results for 16-QAM modulated symbols in OFDM and OWDM systems show the improvement on PAPR.
5th Mosharaka International Conference on Communications, Networking and Information Technology (MIC-CNIT 2011)
Congress
2011 Global Congress on Communications, Networking and Information Technology (GC-CNIT 2011), 16-18 December 2011, Dubai, UAE
Pages
39-43
Topics
Wireless Communication Systems Multicarrier Communication Systems
ISSN
2227-331X
DOI
BibTeX
@inproceedings{239CNIT2011,
title={PAPR REDUCTION IN OFDM AND OWDM SYSTEMS USING PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHMS},
author={Dawood Talebi Khanmiri, and Abbas Sharifi, and Javad Musevi Niya, and Behzad Mozaffari Tazehkand},
booktitle={2011 Global Congress on Communications, Networking and Information Technology (GC-CNIT 2011)},
year={2011},
pages={39-43},
doi={}},
organization={Mosharaka for Research and Studies}
}
