Mohammady, Somayeh and Dooley, John and Farrell, Ronan and Sulaiman, Nasri (2018) Depiction of Peak to Average Power Ratio Reduction Scheme and potentials for 5G. In: 2018 IEEE International RF and Microwave Conference (RFM). IEEE, pp. 286-290. ISBN 9781538667200

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Abstract

Peak to Average Power Ratio (PAR or PAPR) is one of the most challenging issues in the operation of Orthogonal Frequency Division Multiplexing (OFDM) for multicarrier signals used in Fourth and Fifth Generation of broadband cellular network technology (4G and 5G). There are numerous PAPR reduction or also recognized as Crest Factor Reduction (CFR) techniques, for instance Clipping, Coding, Dummy Sequence Insertion (DSI), Tone Reservation, Active Constellation Sequence (ACE), Partial Transmit Sequence (PTS), and Selective Mapping (SLM) schemes. Among these methods, SLM-based techniques are very attractive solutions due to their good performance without additional out-of-band radiations or in-band distortions. This study demonstrates a performance analysis of an SLM-based method combined with adding randomly generated dummy sequences to power-free subcarriers. Simulation results show that the PAPR of the OFDM based signal can be reduced efficiently by using adequate number of dummies and tolerable number of iterations, and that is a potential scheme for 4G and 5G

Item Type:	Book Section
Additional Information:	This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. Cite as: S. Mohammady, J. Dooley, R. Farrell and N. Sulaiman, "Depiction of Peak to Average Power Ratio Reduction Scheme and potentials for 5G," 2018 IEEE International RF and Microwave Conference (RFM), Penang, Malaysia, 2018, pp. 286-290, doi: 10.1109/RFM.2018.8846484.
Keywords:	CCDF; CFR; Dummy Sequence Insertion; OFDM; PAPR; SLM; Peak to average power ratio; 5G mobile communication; Partial transmit sequences; Modulation; Receivers; Minimization;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	13335
Identification Number:	https://doi.org/10.1109/RFM.2018.8846484
Depositing User:	Ronan Farrell
Date Deposited:	30 Sep 2020 15:18
Publisher:	IEEE
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI), European Regional Development Fund
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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