Interleaving method without side information for the PAPR reduction of OFDM system

Ryu, Heung‐Gyoon; Kim, Sang-Kyun; Ryu, Sang-Burm

doi:10.1109/iscit.2007.4391987

Cited by 14 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, the signal with the smallest PAPR is chosen for transmission. By interleaving the symbols, the high-power peaks are more evenly spread out, reducing the likelihood of their occurrence [ 99 ]. This enhances the BER performance by mitigating the impact of significant power variations.…”

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

“…Moreover, interleaving does not introduce additional signal distortions or require intricate processing, ensuring a low BER [ 100 ]. However, to correctly decode the transmitted signal, it is necessary to transmit some side information bits to inform the receiver which interleaver was considered to generate the selected signal for transmission [ 99 , 100 ].…”

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

“…Therefore, the achieved PAPR reduction through interleaving should be carefully balanced with the desired BER performance. In comparison with SLM and PTS, interleaving introduces a distinct dimension to signal processing, emphasizing error resilience and the ability to recover from channel-induced disruptions [ 99 , 102 ]. Figure 8 illustrates a block diagram of the OFDM transmitter with the interleaving approach.…”

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

“…Figure 8 illustrates a block diagram of the OFDM transmitter with the interleaving approach. This visual representation provides a clear overview of how the interleaving technique is applied in an OFDM system to reduce the PAPR and improve BER performance [ 99 ].…”

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

See 3 more Smart Citations

A Survey of PAPR Techniques Based on Machine Learning

da Silva,

Souto,

Souza

et al. 2024

Sensors

View full text Add to dashboard Cite

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.

show abstract

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

Section: Classical Papr Reduction Approachesmentioning

confidence: 99%

See 2 more Smart Citations

A Survey of PAPR Techniques Based on Machine Learning

da Silva,

Souto,

Souza

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…On the other hand, various proposals have been made in the literature for which there is no need for any spectral spoilage, such as blind SLM at the cost of a rather high complexity [21] or Active Constellation Extension (ACE) better suited for small constellations [22]. The authors of [18] proposed an interleaving technique for PAPR reduction but this proposal requires a reliable transmission of the interleaver index; [23] proposed to embed the interleaver index into the OFDM pilot symbols but this may lead to a poor channel estimation at the receiver side [24] and it is not adapted to the case of slow fading channels as pointed out by [25].…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Blind PAPR Reduction for OFDM Systems With Rotated Constellations

Arbi

Geller

2021

IEEE Trans. on Broadcast.

View full text Add to dashboard Cite

The high Peak-to-Average Power Ratio (PAPR) of Orthogonal Frequency Division Multiplexing (OFDM) signals leads to a serious system performance degradation. To work around this issue, several algorithms have been proposed in the literature to reduce the PAPR, but, they often suffer from multiple limitations; in particular, the main issue with interleaving techniques is the spectral efficiency loss, as the transmission of a Side Information (SI) is generally required. In contrast to previous works, this paper proposes a blind interleaving technique for OFDM systems with signal space diversity. Indeed, with Rotated and Cyclically Q-Delayed (RCQD) constellations, the In-phase (I) and Quadrature (Q) components of constellations symbols are correlated, which allows the receiver to estimate the interleaver index without any SI. Moreover, to lower down the complexity burden at the receiver side, we first design a blind decoder based on the Minimum Mean Square Error (MMSE) criterion and we then propose a low complexity decoder for the Uniformly Projected RCQD (UP-RCQD) QAM, as this constellation has several interesting structural properties and achieves near optimum BER performance. Simulation results show that our proposal leads to a large PAPR reduction and to a near optimum BER performance that outperforms, over various channels, the solution currently used in DVB-T2. They also underline the good performance of the blind decoding performed with up to 98% of complexity reduction compared to the max-log Maximum Likelihood (ML) estimation.

show abstract

Improved Interleaving Scheme for PAPR Reduction in MIMO-OFDM Systems

Wang

Jiang

2018

Intelligent Computing Methodologies

View full text Add to dashboard Cite

Interleaving method without side information for the PAPR reduction of OFDM system

Cited by 14 publications

References 9 publications

A Survey of PAPR Techniques Based on Machine Learning

A Survey of PAPR Techniques Based on Machine Learning

Low-Complexity Blind PAPR Reduction for OFDM Systems With Rotated Constellations

Improved Interleaving Scheme for PAPR Reduction in MIMO-OFDM Systems

Contact Info

Product

Resources

About