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Complexity Reduction in PTS based OFDM System: A Survey

by Devinder Kumar, Preeti Singh, Jaget Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 13
Year of Publication: 2013
Authors: Devinder Kumar, Preeti Singh, Jaget Singh
10.5120/11900-7961

Devinder Kumar, Preeti Singh, Jaget Singh . Complexity Reduction in PTS based OFDM System: A Survey. International Journal of Computer Applications. 69, 13 ( May 2013), 10-14. DOI=10.5120/11900-7961

@article{ 10.5120/11900-7961,
author = { Devinder Kumar, Preeti Singh, Jaget Singh },
title = { Complexity Reduction in PTS based OFDM System: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 13 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number13/11900-7961/ },
doi = { 10.5120/11900-7961 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:08.090728+05:30
%A Devinder Kumar
%A Preeti Singh
%A Jaget Singh
%T Complexity Reduction in PTS based OFDM System: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 13
%P 10-14
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

These days, Orthogonal Frequency Division Multiplexing (OFDM) is a more attractive technique used in wireless communication systems. It has high capacity of data transmission. The major disadvantage of OFDM is Peak to Average Power Reduction which arises mainly due to increase in number of sub-carriers. Partial transmit sequence (PTS) is one of the best technique among all the proposed techniques to reduce the Peak-to-Average Power Ratio (PAPR). It has been found that the phase angles should lie in between 00 to 3600 for best optimized result. But in this way, computational complexity increases exponentially with increase in sub-blocks. In this paper, a comparative analysis of different already existing optimization algorithms like Exhaustive Search Algorithm (ESA), Simulated Annealing (SA), Particles Swarm Optimization (PSO), Genetic Algorithm (GA), Electromagnetism (EM) and Bacteria Foraging Optimization (BFO) used to reduce the computational complexity of phase factors by finding optimal phase factors has been carried out. Finally, the performance of the said algorithms has been compared on the basis of PAPR reduction.

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Index Terms

Computer Science
Information Sciences

Keywords

OFDM phase factors partial transmit sequence PAPR multi-carrier modulation

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