Convolutional Code Based PAPR Reduction Scheme for Multicarrier Transmission with Higher Number of Subcarriers.

Sajjad Ali Memon; Imran Ali Qureshi; Abdul Latif

Author(s)

Sajjad Ali Memon Department of Telecommunication Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan

Imran Ali Qureshi Department of Telecommunication Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan

Abdul Latif Department of Telecommunication Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan

Abstract

Multicarrier transmission technique has become a prominent transmission technique in high-speed wireless communication systems. It is due to its frequency diversity,small inter-symbol interference in the multipath fading channel, simple equalizer structure, and high bandwidth efficiency. Nevertheless, in the time domain, multicarrier transmission signal has high PAPR (Peak-to-Average Power Ratio) that interprets to low power amplifier efficiencies. To decrease the PAPR, a CCSLM (Convolutional Code Selective Mapping) scheme for multicarrier transmission with a high number of subcarriers is proposed in this paper. Proposed scheme is based on SLM method and employs interleaver and convolutional coding. Related works on the PAPR reduction have considered either 128 or 256 number of subcarriers. However, PAPR of multicarrier transmission signal will increase as a number of subcarriers increases. The proposed method achieves significant PAPR reduction for a higher number of subcarriers as well as better power amplifier efficiency. Simulation outcomes validate the usefulness of projected scheme.

Publication Details

Page(s) 1049-1058

DOI DOI not available

Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 36, Issue: 4, Year: 2017

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