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Journal ArticleDOI

An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals

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TLDR
Different OFDM PAPR reduction techniques are reviewed and analysis, based on computational complexity, bandwidth expansion, spectral spillage and performance, for multiuser OFDM broadband communication systems.
Abstract
One of the challenging issues for Orthogonal Frequency Division Multiplexing (OFDM) system is its high Peak-to-Average Power Ratio (PAPR). In this paper, we review and analysis different OFDM PAPR reduction techniques, based on computational complexity, bandwidth expansion, spectral spillage and performance. We also discuss some methods of PAPR reduction for multiuser OFDM broadband communication systems.

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Journal ArticleDOI

Peak-To-Average Power Ratio Reduction in OFDM Systems: A Survey And Taxonomy

TL;DR: The survey describes the most commonly encountered impediment of OFDM systems, the PAPR problem and consequent impact on power amplifiers leading to nonlinear distortion, and provides insights into the transmitted power constraint by showing the possibility of satisfying the constraint without added complexity by the use of companding transforms with suitably chosen companding parameters.
Book

Foundations of MIMO Communication

TL;DR: Understand the fundamentals of wireless and MIMO communication with this accessible and comprehensive text, which provides a sound treatment of the key concepts underpinning contemporary wireless communication and M IMO, all the way to massive MIMo.
Journal ArticleDOI

Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint

TL;DR: It is proved that these problems are NP-hard and, hence, design techniques are introduced, relying on semidefinite programming (SDP) relaxation and randomization as well as on the theory of trigonometric polynomials, providing high-quality suboptimal solutions with a polynomial time computational complexity.
Journal ArticleDOI

A Novel PAPR Reduction Scheme for OFDM System Based on Deep Learning

TL;DR: This letter proposes a novel PAPR reduction scheme, known as P APR reducing network (PRNet), based on the autoencoder architecture of deep learning, where the constellation mapping and demapping of symbols on each subcarrier is determined adaptively through a deep learning technique.
Journal ArticleDOI

An overview of peak-to-average power ratio reduction schemes for OFDM signals

TL;DR: This paper reviews the conventional PAPR reduction schemes and their modifications for achieving the low computational complexity required for practical implementation in wireless communication systems.
References
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Digital Communications

Journal ArticleDOI

An overview of peak-to-average power ratio reduction techniques for multicarrier transmission

TL;DR: Some of the important PAPR reduction techniques for multicarrier transmission including amplitude clipping and filtering, coding, partial transmit sequence, selected mapping, interleaving, tone reservation, tone injection, and active constellation extension are described.
Journal ArticleDOI

Reducing the peak-to-average power ratio of multicarrier modulation by selected mapping

TL;DR: A method for the reduction of peak-to-average transmit power ratio of multicarrier modulation systems, called selected mapping, is presented, which is appropriate for a wide range of applications.
Journal ArticleDOI

OFDM with reduced peak-to-average power ratio by optimum combination of partial transmit sequences

TL;DR: In this paper, the authors proposed a very effective and flexible peak power reduction scheme for orthogonal frequency division multiplexing (OFDM) with almost vanishing redundancy, which works with arbitrary numbers of subcarriers and unconstrained signal sets.
Journal ArticleDOI

Peak-to-mean power control in OFDM, Golay complementary sequences and Reed-Muller codes

TL;DR: A previously unrecognized connection between Golay complementary sequences and second-order Reed-Muller codes over alphabets Z/sub 2/h is found to give an efficient decoding algorithm involving multiple fast Hadamard transforms.
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