A Low‐Complexity PTS Based on Greedy and Genetic Algorithm for OFDM Systems

Luo, Renze; Zhang, Chengsen; Niu, Na; Li, Rui

doi:10.1049/cje.2015.10.032

Cited by 10 publications

(3 citation statements)

References 15 publications

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“…Renze et al [13] have proposed an effective PTS based scheme named Greedy and Genetic Algorithm for OFDM systems. Here, it combined the both traditional PTS method and super-imposed sequence method to attain furthermore PAPR minimization.…”

Section: Literature Reviewmentioning

confidence: 99%

Improved PTS Technique Based on Sub-Block Weighting Method of PAPR Reduction in OFDM Signals

Kumar¹,

Babu²,

Krishna³

2017

IJIES

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Abstract:The techniques to achieve Peak-to-Average Power Ratio (PAPR) minimization in Orthogonal Frequency Division Multiplexing (OFDM) signals, has brought more interest among the researchers in recent days. Among various methods for PAPR reduction, the Partial Transmit Sequence (PTS) and Selected Mapping (SLM) has derived successful reduction and improvement compared to other methods. However, it requires a large complexity for obtaining a kind of good performance in PAPR minimization. Thus, it is continuously being revised and improved by the researchers to provide better results. This paper focus on the same motivation mentioned above. It includes an improved PTS with the help of new Sub-block Weighting (SW) method. The improved PTS is combined with SLM technique for diminishing the computational intricacy for OFDM system. Simulation and experimental outcome confirms that the proposed method shows a superior outcome in terms of Complementary Cumulative Distribution Function (CCDF) compared to previous schemes.

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Section: Literature Reviewmentioning

confidence: 99%

Improved PTS Technique Based on Sub-Block Weighting Method of PAPR Reduction in OFDM Signals

Kumar¹,

Babu²,

Krishna³

2017

IJIES

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“…However, OFDM system suffers several drawbacks, such as high Peak‐to‐average power ratio (PAPR). Therefore, many PAPR reduction schemes have been proposed [ 4 , 5 ] . Selected mapping (SLM) is a widely adopted scheme without signal distortion [ 6 ] .…”

Section: Introductionmentioning

confidence: 99%

Selected‐Mapping Peak‐to‐Average Power Reduction Method with Orthogonal Pilot Sequences in Underwater Acoustic OFDM System Without Side Information

Qiao

Xing

Zhou

2021

Chinese J of Electronics

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A novel Selected‐mapping (SLM) Peak‐to‐average power ratio (PAPR) reduction scheme requires no Side information (SI) in Underwater acoustic (UWA) OFDM system is proposed. In the proposed scheme, every distinct phase sequence is represented by a unique Orthogonal comb pilot sequence (OPS), and the orthogonal properties of the OPSs are used to distinguish the index of phase sequences at the receiver. Therefore, the proposed scheme does not need to reserve bits for transmitting SI, so that the data rate can be raised. Simulation results show that the PAPR reduction performance has almost 0.5dB gains comparing to the Conventional SLM (C‐SLM) scheme and the Bit error ratio (BER) performance is approximately the same as the SLM scheme with perfect SI. Field experimental results also demonstrate that the proposed scheme can differentiate phase sequences, therefore significantly enhance the quality of the UWA OFDM communication system.

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“…By using optimization techniques number of required searches can be reduced. Some of the excessively used methods are Genetic Algorithm (GA) [24,25], Particle Swarm Optimization (PSO) [26], Artificial Bee Colony (ABC) [27,28], Biogeography Based Optimization (BBO) [29] and differential evolution (DE) [30].…”

Section: Introductionmentioning

confidence: 99%

PAPR analysis of OFDM system using AI based multiple signal representation methods

2019

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OFDM (orthogonal frequency division multiplexing) is widely used in 4 th generation applications owing to its robustness in fading environments. The major issues with OFDM systems is the high PAPR (peak-to-average power ratio) of the transmitted signals, it leads to in and out of band distortion. SLM (selective mapping) and PTS (partial transmit sequence) are two key methods for PAPR reduction. Both the methods require exhaustive searching of phase factors to optimize the PAPR, these searches lead to high computational complexity. This paper discusses using optimization based PAPR reduction methods which an be used with PTS for the reduction of computational complexity and search space. In this paper we have analyzed PTS and SLM with particle swarm optimization (PSO), Artificial Bee Colony (ABC) and differential evolution (DE). PAPR and BER (bit error rate) comparison is done for both the cases.

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A Low‐Complexity PTS Based on Greedy and Genetic Algorithm for OFDM Systems

Cited by 10 publications

References 15 publications

Improved PTS Technique Based on Sub-Block Weighting Method of PAPR Reduction in OFDM Signals

Improved PTS Technique Based on Sub-Block Weighting Method of PAPR Reduction in OFDM Signals

Selected‐Mapping Peak‐to‐Average Power Reduction Method with Orthogonal Pilot Sequences in Underwater Acoustic OFDM System Without Side Information

PAPR analysis of OFDM system using AI based multiple signal representation methods

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