Mohammady, Somayeh, Dooley, John, 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 |
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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: | 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 |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/13335 |
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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