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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>Performance Analysis of Nonlinear Companding Techniques for PAPR Mitigation in 5G GFDM Systems</text>
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          <name>Subject</name>
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              <text>Exponential companding; GFDM; High-power amplifier; Mu law companding; PAPR reduction; Root companding</text>
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              <text>Generalized Frequency Division Multiplexing (GFDM) is a 5G waveform contender that offers asynchronous and non-orthogonal data transmission, featuring several advantages, some of them being low latency, reduced out-of-band (OOB) radiation and low adjacent channel leakage ratio. GFDM is a non-orthogonal multicarrier waveform which enables data transmission on a time frequency grid. However, like orthogonal frequency division multiplexing and many other multicarrier systems, high peak-to-average power ratio (PAPR) is one of the main problems in GFDM, which degrades the high-power amplifier (HPA) efficiency and distorts the transmitted signal, thereby affecting the bit error rate (BER) performance of the system. Hence, PAPR reduction is essential for improved system performance and enhanced efficiency. Nonlinear companding techniques are known to be one of the effective low complexity PAPR reduction techniques for multicarrier systems. In this paper, a GFDM system is evaluated using mu law companding, root companding and exponential companding techniques for efficient PAPR reduction. The PAPR and BER graphs are used to evaluate the proposed methods in the presence of an HPA. Simulations show that, out of these three techniques, exponential companding was found to provide a trade-off between the PAPR reduction and BER performance.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Gopan N.R.; Sujatha S.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-689 LNNS, pp. 39-52.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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          <name>Date</name>
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              <text>2023-01-01</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-99-2322-9_4" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-99-2322-9_4&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169041333&amp;amp;doi=10.1007%2F978-981-99-2322-9_4&amp;amp;partnerID=40&amp;amp;md5=36e9099876460680579ae2943767f159" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169041333&amp;amp;doi=10.1007%2f978-981-99-2322-9_4&amp;amp;partnerID=40&amp;amp;md5=36e9099876460680579ae2943767f159&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 23673370; ISBN: 978-981992321-2</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Conference paper</text>
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              <text>Gopan N.R., Department of ECE, Rajagiri School of Engineering and Technology, Kochi, India; Sujatha S., Department of ECE, Christ (Deemed to be University), Bengaluru, India</text>
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