PAPR reduction techniques in LTE/LTE-A systems

Singh, Veerpratap; Sharma, Rakesh

doi:10.1109/icaccct.2014.7019177

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…These reserved tones are carefully designed to nullify high-power peaks in the transmitted signal. The TR method aims to enhance the BER performance by mitigating the effects of significant power variations [ 115 , 116 ]. Similar to the TI approach, TR can be implemented with relatively low complexity, as it involves generating and adding reserved tones to the signal [ 117 ].…”

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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show abstract

“…If we reduce the PAPR of the multicarrier signals in the baseband, the impact of the abovementioned would be mitigated. Many approaches have been proposed to reduce the PAPR of orthogonal frequency‐division multiplexing (OFDM)‐based signals at the expense of transmit signal power increase, data rate loss, computational complexity increase, BER increase, or code rate loss [5, 6].…”

Section: Introductionmentioning

confidence: 99%

Iterative smoothing filtering schemes by using clipping noise‐assisted signals for PAPR reduction in OFDM‐based carrier aggregation systems

Lin¹,

Chen²,

Tseng³

2019

IET Communications

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“…Orthogonal Frequency Division Multiplexing (OFDM) is a transmission scheme which uses multi-carriers to overcome severe environmental challenges which affect wireless communications spectral efficiency performance (Singh and Sharma, 2015). Its multicarrier nature has managed to attract several technologies, both wired and wireless communication systems.…”

Section: Introduction 123mentioning

confidence: 99%

“…Its multicarrier nature has managed to attract several technologies, both wired and wireless communication systems. These includes, Digital Audio and Video Broadcasting, Digital subscriber line using digital multitone, Wireless Local Area Network (WLAN) such as IEEE 802.11, High Performance Radio Local Area Network (HIPERLAN) and Multimedia Mobile Access Communication (MMAC), wireless broadband service, WiMAX IEEE 802.16 and other new generation cellular network such as LTE (Singh and Sharma, 2015;Kondamuri and Sundru, 2018;Liu et al, 2018). However, this technology has several drawbacks including high sensitivity to frequency offset, spectral null in the channel and high peak to average power ratio (PAPR) (Yang, 2005).…”

Section: Introduction 123mentioning

confidence: 99%

Blind Algorithm Development for Peak to Average Power Ratio Reduction in OFDM Systems under Frequency Selective Channels

Gadiel

Ibwe

Kissaka

2019

TJET

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One major drawback of orthogonal frequency division multiplexing (OFDM) system is peak to average power ratio (PAPR). This effect causes high power amplifier (HPA) to introduce intermodulation and out of band radiation as the signal goes through, thus degrades the performance of OFDM systems. This paper proposes blind algorithms which takes advantage of signal transformation technique and signal distortion technique. Simulation results show that at complementary cumulative distribution function (CCDF) level of 10-3 , the proposed algorithm achieved 3.2 dB PAPR improvement compared to discrete Fourier transform with interleaved frequency division multiple access (DFT-IFDMA) based algorithm. The bit error rate (BER) performance has degraded by 2 dB compared to the original OFDM signal with no distortion under frequency selective channel (FCS) at BER of 10-4 . These presented results, mark this algorithm as a better candidate for PAPR reduction algorithm in long term evolution (LTE) network. Under AWGN channels, the proposed algorithm performs better both in low and high signal power values. Under frequency selective channels, the existing and proposed algorithm converges after 10 dB of signal to noise power values. The low BER transmissions at low signal power values signify energy efficiency, ideal for portable wireless devices with limited battery power.

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PAPR reduction techniques in LTE/LTE-A systems

Cited by 4 publications

References 7 publications

A Survey of PAPR Techniques Based on Machine Learning

A Survey of PAPR Techniques Based on Machine Learning

Iterative smoothing filtering schemes by using clipping noise‐assisted signals for PAPR reduction in OFDM‐based carrier aggregation systems

Blind Algorithm Development for Peak to Average Power Ratio Reduction in OFDM Systems under Frequency Selective Channels

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