2021
DOI: 10.3390/s21041410
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A Novel Hybrid Precoding-Companding Technique for Peak-to-Average Power Ratio Reduction in 5G and beyond

Abstract: Several high-speed wireless systems use Orthogonal Frequency Division Multiplexing (OFDM) due to its advantages. 5G has adopted OFDM and is expected to be considered beyond 5G (B5G). Meanwhile, OFDM has a high Peak-to-Average Power Ratio (PAPR) problem. Hybridization between two PAPR reduction techniques gains the two techniques’ advantages. Hybrid precoding-companding techniques are attractive as they require small computational complexity to achieve high PAPR reduction gain. Many precoding-companding techniq… Show more

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Cited by 24 publications
(13 citation statements)
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“…The addition reversed FBMC has no RMs because the waveform is added to its original form. The RMs number in the case of companding technique is given by (𝑡 + 1)6𝑁, where t is the number of terms in Taylor series, which is sufficiently set to 5 [38]. The DCT precoding used in this paper is DCT-2 which has RMs equal to 3𝑁log2𝑁 + 𝑁 [39].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The addition reversed FBMC has no RMs because the waveform is added to its original form. The RMs number in the case of companding technique is given by (𝑡 + 1)6𝑁, where t is the number of terms in Taylor series, which is sufficiently set to 5 [38]. The DCT precoding used in this paper is DCT-2 which has RMs equal to 3𝑁log2𝑁 + 𝑁 [39].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The overall architecture of the introduced MIMO FBMC/OQAM system with DCT precoding and non-linear mu-law companding is showing in Figure 1. It consists of OQAM preprocessing, DCT precoding, IFFT, polyphase filter bank, and mu-law companding followed by multiple antennas [10]. This system transmitting OQAM symbols instead of transmitting quadrature amplitude modulation (QAM) symbol.…”
Section: Proposed Methods 21 Mimo Fbmc/oqam Systemmentioning
confidence: 99%
“…In recent years, several detection algorithms such as Minimum Mean Square Error (MMSE), Zero Forcing Equalizer (ZFE), and Maximum Likelihood (ML) have been proposed. The ML is regarded as one of the most efficient detection methods [13]. However, it increases the complexity due to its comprehensive search characteristics.…”
Section: Literature Reviewmentioning
confidence: 99%