NDLI: Low-complexity PTS schemes for PAPR reduction in OFDM systems

Content Provider	IET Digital Library
Author	Hu, Chi Wang, Lingyin Zhou, Zhuang
Abstract	For original partial transmit sequence (O-PTS), the conjugate operations can be applied to achieve the purpose of ameliorating the peak-to-average power ratio (PAPR) performance. But in this way, an observation has been found that some of these candidate signals has the same PAPR value that brings about great redundant computations. Based on this, a low-complexity PTS is put forward to abate the PAPR of orthogonal frequency division multiplexing (OFDM) systems, thereby avoiding redundant candidate signals. In proposed scheme, a novel scheme employing conjugate operations for generating candidate signals with different PAPR values is given, which avoids the generation of candidate signals with the same PAPR value and saves the needless computations. Meanwhile, the grouping is involved for further reduction in computational complexity. Simulation results illustrate that our scheme has the similar or superior PAPR performance with the remarkable reduction in computational complexity by comparison with O-PTS.
Starting Page	3261
Ending Page	3265
Page Count	5
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 18, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2020.0076
Journal	IET Communications
Publisher Date	2020-09-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Candidate Signal Generation Computational Complexity Conjugate Operations Low-complexity PTS Scheme Modulation And Coding Method Needless Computations O-PTS OFDM Modulation OFDM System Original Partial Transmit Sequence Orthogonal Frequency Division Multiplexing System PAPR Performance PAPR Reduction Peak-to-average Power Ratio Performance Redundant Candidate Signal Redundant Computations Sequence
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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