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2024 | OriginalPaper | Chapter

Improvement of Selective Mapping Performance Using Riemann Matrix for PAPR Reduction

Authors : A. A. A. Wahab, N. Qamarina, S. S. N. Alhady, W. A. F. W. Othman, H. Husin

Published in: IT Solutions for Sustainable Living

Publisher: Springer Nature Switzerland

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Abstract

This chapter delves into the challenges of high Peak to Average Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) systems and proposes a novel method using Riemann Matrix to enhance Selective Mapping (SLM) performance. The chapter begins by outlining the need for high-quality wireless services and the benefits of OFDM, despite its major drawback of high PAPR. It then introduces the concept of SLM as a distortionless technique for PAPR reduction and discusses its limitations. The proposed method leverages Riemann Matrix to optimize phase sequences in SLM, leading to improved PAPR and BER performance. The chapter presents simulation results demonstrating the effectiveness of the proposed method and concludes by highlighting its advantages over conventional techniques. The chapter is a must-read for professionals seeking innovative solutions to PAPR reduction in OFDM systems.
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Metadata
Title
Improvement of Selective Mapping Performance Using Riemann Matrix for PAPR Reduction
Authors
A. A. A. Wahab
N. Qamarina
S. S. N. Alhady
W. A. F. W. Othman
H. Husin
Copyright Year
2024
Book
IT Solutions for Sustainable Living

Print ISBN: 978-3-031-51858-4

Electronic ISBN: 978-3-031-51859-1

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-51859-1_9