Performance evaluation of hybrid ACE-PTS PAPR reduction techniques

Youssef, Mohamed; Tarrad, Ibrahim F.; Mounir, Mohamed

doi:10.1109/icces.2016.7822039

Cited by 14 publications

(4 citation statements)

References 20 publications

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“…The ACE technique is used to expand the constellation points within a transmitted signal to reduce the impact of high-power peaks [ 124 ]. More specifically, the constellation points are extended toward the outside of the original constellation, and regions named “feasible regions” are created as illustrated in Figure 12 [ 123 ].…”

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

A Survey of PAPR Techniques Based on Machine Learning

da Silva,

Souto,

Souza

et al. 2024

Sensors

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Orthogonal Frequency Division Multiplexing (OFDM) is the modulation technology used in Fourth Generation (4G) and Fifth Generation (5G) wireless communication systems, and it will likely be essential to Sixth Generation (6G) wireless communication systems. However, OFDM introduces a high Peak to Average Power Ratio (PAPR) in the time domain due to constructive interference among multiple subcarriers, increasing the complexity and cost of the amplifiers and, consequently, the cost and complexity of 6G networks. Therefore, the development of new solutions to reduce the PAPR in OFDM systems is crucial to 6G networks. The application of Machine Learning (ML) has emerged as a promising avenue for tackling PAPR issues. Along this line, this paper presents a comprehensive review of PAPR optimization techniques with a focus on ML approaches. From this survey, it becomes clear that ML solutions offer customized optimization, effective search space navigation, and real-time adaptability. In light of the demands of evolving 6G networks, integration of ML is a necessity to propel advancements and meet increasing prerequisites. This integration not only presents possibilities for PAPR reduction but also calls for continued exploration to harness its potential and ensure efficient and reliable communication within 6G networks.

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Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

A Survey of PAPR Techniques Based on Machine Learning

da Silva,

Souto,

Souza

et al. 2024

Sensors

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“…Practically, CCDF is used to measure the PAPR reduction capability of any technique (Youssef, Tarrad, & Mounir, 2016, December).…”

Section: Ofdm System and High Papr Problemmentioning

confidence: 99%

On the selection of the best companding technique for PAPR reduction in OFDM systems

Mounir

Mashade

2019

Journal of Information and Telecommunication

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Orthogonal frequency division multiplexing (OFDM) is used in high data rate applications due to its ability to cope with frequencyselective channels. However, OFDM suffers from the high peak-toaverage power ratio (PAPR) problem, which reduces the power amplifier (PA) efficiency or otherwise degrades bit error rate (BER) and increases out-of-band (OOB) radiation. In the literature, there are various PAPR reduction techniques. Among them companding techniques have small computational complexity, which make them attractive to be used in mobile stations (MS). Generally, companding techniques expand small signals while compressing large signals or compress large signals without affecting small signals. In this paper, different PAPR reduction companding transforms are compared. Results showed that companding transforms that compress large signals without affecting small signals (such as, Log companding and Tanh companding) are better than the others from a BER point of view. Results also showed that the Log companding transform is better than the Tanh transform, in terms of PAPR reduction gain and OOB radiation reduction. So the Log companding transform can be considered as the best practical companding transform among others. ARTICLE HISTORY

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“…For example, PTS-SLM [ 17 ], and PTS-Interleaving [ 18 ] are examples of hybridizing techniques that belong to the same category (i.e., MSR). On the other hand, ACE-PTS [ 19 ], precoding-clipping [ 20 ], PTS-companding [ 21 ], and precoding-companding [ 22 ] are examples of hybridizing different PAPR reduction techniques from different categories. Hybrid precoding-companding techniques are attractive as they require small computational complexity to achieve large PAPR reduction gain.…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Precoding-Companding Technique for Peak-to-Average Power Ratio Reduction in 5G and beyond

Mounir

Mashade

Berra

et al. 2021

Sensors

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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 techniques were introduced to increasing the PAPR reduction gain. However, reducing Bit Error Rate (BER) and out-of-band (OOB) radiation are more significant than increasing PAPR reduction gain. This paper proposes a new precoding-companding technique to better reduce the BER and OOB radiation than previous precoding-companding techniques. Results showed that the proposed technique outperforms all previous precoding-companding techniques in BER enhancement and OOB radiation reduction. The proposed technique reduces the Error Vector Magnitude (EVM) by 15 dB compared with 10 dB for the best previous technique. Additionally, the proposed technique increases high power amplifier efficiency (HPA) by 11.4%, while the best previous technique increased HPA efficiency by 9.8%. Moreover, our proposal achieves PAPR reduction gain better than the most known powerful PAPR reduction technique with a 99% reduction in required computational complexity.

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Performance evaluation of hybrid ACE-PTS PAPR reduction techniques

Cited by 14 publications

References 20 publications

A Survey of PAPR Techniques Based on Machine Learning

A Survey of PAPR Techniques Based on Machine Learning

On the selection of the best companding technique for PAPR reduction in OFDM systems

A Novel Hybrid Precoding-Companding Technique for Peak-to-Average Power Ratio Reduction in 5G and beyond

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