Effective Selection and Mutation in Genetic Algorithm for PAPR Reduction of OFDM Signal

Shigei, Noritaka; Araki, Kentaro; Miyajima, Hiromi

doi:10.1007/978-3-319-05533-6_7

Cited by 5 publications

(13 citation statements)

References 5 publications

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“…We have applied GA to the peak power reduction method based on TI [8], [9]. The GA method outperforms the random search methods in terms of the PAPR reduction ability.…”

Section: B Genetic Algorithmmentioning

confidence: 99%

“…In [9], four types of crossover operators, one-point, twopoint, three-point and uniform, have been tested, and it has been shown that the uniform operator provides the best performance among them. Given a pair of individuals l a and l b , the uniform operator randomly swaps genes, between l a and l b .…”

Section: B Genetic Algorithmmentioning

confidence: 99%

“…In [7], the solution space is reasonably reduced by introducing some constraints into the TI technique, and a neural network (NN) has been applied to the TI method. Further, in [8], [9], [10], genetic algorithms (GAs) have been applied to the PAPR reduction method, it has been shown that the proposed GA methods provide the better performance than the NN method and random searches. However, the hardware implementation of GA involves some difficulties.…”

Section: Introductionmentioning

confidence: 99%

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Parallel stochastic search for PAPR reduction of OFDM signal

Shigei

Kumashiro

Miyajima

2014

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Ad

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Tone injection (TI) is an effective technique to overcome high PAPR (peak-to-average power ratio) of OFDM. The PAPR reduction problem solved with TI is a combinatorial problem. Although the effectiveness of GA has been demonstrated for this problem, GA involves relative complex operators. This implies that, when implementing the methods of TI on digital circuits, other methods may outperform GA under the same processing time. In this paper, we investigate effective parallel search methods for the PAPR reduction, which are of simple structure for implementing digital circuits. At first, as the basis of the parallel methods, we propose two types of stochastic search methods. The one is Flip-Probability-specified type (FP) search and the other is a specified-Number-of-Flips type (NF) search. Both of them use only simple stochastic operators. Then, we propose an effective digital circuit implementation of the solution evaluation function. Finally, we propose a parallel search method based on FP and NF search. The simulation results show that, the proposed parallel search methods can improve not only the processing speed but also the quality of the solution.

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“…We have applied GA to the peak power reduction method based on TI [8], [9]. The GA method outperforms the random search methods in terms of the PAPR reduction ability.…”

Section: B Genetic Algorithmmentioning

confidence: 99%

Section: B Genetic Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Parallel stochastic search for PAPR reduction of OFDM signal

Shigei

Kumashiro

Miyajima

2014

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Ad

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“…This causes the problems of out-of-band radiation and degradation in bit error rate (BER) characteristics. In order to overcome this problem, various techniques for peak power reduction have been proposed [2,3,4,5,6]. The clipping and filtering (CF) technique is one of them [6].…”

Section: Introductionmentioning

confidence: 99%

“…Although the CF technique is of simple and easy implementation, it distorts the modulated signal and tends to degrade the BER characteristics. On the other hand, although the tone injection (TI) technique needs much time to obtain a good reduction effect of PAPR, it does not cause distortion in the modulated signal [4,5]. For TI, some complex symbols used for modulating subcarriers are moved from their original positions to other positions so as to suppress the peak power of OFDM signals.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Method of Tone-Injection and Clipping-and-Filtering for Suppressing Nonlinear Distortion of OFDM Signal

Shigei

Takaki

2018

Stochastic Systems Theory and its Applications (SSS)

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In this paper, we propose hybrid methods of Tone-Injection (TI) and Clipping-and-Filtering (CF) for suppressing the non-linear distortion of OFDM. TI utilizes the genetic algorithm to search for an effective solution. The proposed methods are evaluated in terms of Peak-to-Average-Power Ratio (PAPR), Bit-Error-Rate (BER), and out-of-band radiation. The effectiveness of the proposed methods is demonstrated in the simulation.

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