PAPR reduction in OFDM using scaled particle swarm optimisation based partial transmit sequence technique

Prasad, Sanjana; Ramesh, J.

doi:10.1049/joe.2018.5340

Cited by 18 publications

(6 citation statements)

References 47 publications

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“…Prasad [18] developed a Scaled Particle Swarm Optimization (SPSO) technique to fractional communicate grouping method to find the ideal stage highlights for dropping the pinnacle normal proportion at a speedier combination rate and lesser calculation unpredictability. PTS strategy has specific issues like exorbitant calculation convolution in light of its complete inspecting of ideal stage highlights.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The comparative analysis of proposed MFO-IFFA and SPSO-PTS method in terms of PAPR are tabulated in below Table 2. From Table 2, indicates that the proposed MFO-IFFA method produces less PAPR value (7.1 dB) when compared with existing ASM [17] and SPSO-PTS [18] By modifying a slight expansion in the firefly power, MFO-IFFA has been proposed which brought the reduction in PAPR at the range of 0.2-0.4 dB when contrasted with conventional strategies. Fig.…”

Section: Comparative Analysismentioning

confidence: 99%

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Analysis of PAPR and BER Reduction in MIMO-OFDM using Hybrid Moth Flame-Improved Firefly Algorithm

2022

IJIES

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The hybrid innovation of Orthogonal Frequency Division Multiplexing (OFDM) through Multiple-Input Multiple-Output (MIMO) delivers a feasible substitute to increase the Quality of Service (QoS) to accomplish better data rate and spectral efficiency for the transmission network. An extraordinary Peak-to-Average Power Ratio (PAPR) and Bit Error Rate (BER) are the important parameters that can be considered in the analysis of the MIMO-OFDM network. Partition Transmit Sequences (PTSs) is one of the capable procedures and direct methods to attain a reasonable PAPR performance. However, it needs a serious restoration process to discover the vital features that produce a computational multi-layered design with sub-blocks. Here, a reduced computational complexity PTS scheme is proposed which is completely depends on the hybrid procedure named as Moth Flame Optimization with Improved Firefly Algorithm (MFO-IFFA). The simulation outcomes demonstrated the capability of the proposed MFO-IFFA approach decreases the PAPR reduction up to 3.6 dB. Similarly, the proposed MFO-IFFA overcomes the significant evolutionary procedures mentioned in the existing works such as Additive Signal Mixing (ASM), Adaptive Simplified Optimized Iterative Clipping and Filtering (ASOICF) and Hybrid Independent Component Analysis (HICA).

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Section: Literature Reviewmentioning

confidence: 99%

Section: Comparative Analysismentioning

confidence: 99%

Analysis of PAPR and BER Reduction in MIMO-OFDM using Hybrid Moth Flame-Improved Firefly Algorithm

2022

IJIES

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“…Fig. 1 depicts the scheme of PTS, where the input frequency-domain signal was divided into serval sub-carriers, each of them was conducted with IFFT transform and scrambled with phase factors, then signals in time-domain with minimum PAPR was chosen [17]. The main algorithm of PTS scheme was shown in Fig.…”

Section: Pts Schemementioning

confidence: 99%

Hybrid Domain Evaluation PTS with Adaptive Selection Methods for PAPR Reduction

Hu¹,

Lu²,

Jin³

et al. 2021

Preprint

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Partial transmit sequence (PTS) technique is a fairly suitable scheme to mitigate the high peak-to-average power ratio (PAPR) problem inherent in 5G multicarrier system-especially considering high-order QAM modulation design. However, the high computational complexity level and the speed of the convergence for optimizing the phases of the transmitting signal restricts this technique in practical applications. In this paper, a low-complexity frequency domain evaluated PTS (F-PTS) based on spacing multi-objective (SMO) processing algorithm is proposed to reduce the PAPR values. The PAPR performance are accurately predicted in terms of modifying relative dispersion in the frequency domain. As a result, the complexity of searching the optimal phase factors and IFFT computing is simplified. Moreover, frequency domain and time domain evaluating PTS (FTD-PTS) is employed to search the optimal solution within reasonable complexity. Simulation results verify that the F-PTS scheme can obtain well secondary peaks with lower computational complexity, and the FTD-PTS scheme effectively reduces PAPR with a faster convergence speed.

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“…In OFDM, Sanjana Prasad and Ramesh Jayabalan [23] were designed a PAPR reduction utilizing scaled PSO created PTS method. A scaled PSO was employed to PTS strategy to choose the phase vectors.…”

Section: Some Of the Recent Related Work Related To The Papr Reductimentioning

confidence: 99%

“…An adaptive mechanism is proposed for reducing the problems by introducing the number of flames (F no ) by Eqn. (23).…”

Section:    mentioning

confidence: 99%

PAPR Reduction and Encryption Based On Hybrid Optimized PTS and Chaotic-DFT Sequences in OFDM System

Sarkar¹,

Kumar²,

Maji³

2019

IJEAT

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In high-speed wireless applications, because of the high-speed compatibility of the OFDM, it is a significant signal processing approach. In general, an efficient spectral multicarrier modulation strategy is named OFDM, which gets impact via the issues of high PAPR. Because of the limited BW availability, the demand for high-speed applications is increasing. Due to the high data requirement, the various subcarriers are increased in OFDM, hence it made the difficult with PAPR (peak-to-average power ratio). To achieve better results by reducing the PAPR is the foremost problem on OFDM. In this paper, a hybrid optimized PTS is used to decrease the PAPR and the data will be encrypted by the DFT based chaotic sequences. A new Hybrid Whale Optimization and Moth Flame Optimization (HWOMFO) is introduced in this paper. It will generate a weighting factor for the PTS. PTS is the foremost strategy in OFDM for reducing the PAPR with low distortion. The minimum performance on computational complexity and PAPR achieved by this paper. The new combination of optimization approaches provides efficient best combination of phase rotational factors. The new hybrid optimization gives fast convergence quality and low complex and also this combination provides better than others. The proposed scheme is executed in MATLAB simulation and performance will be evaluated using parameters such as BER regards to SNR, complementary cumulative distribution function (CCDF) of PAPR and the outputs are associated depends on computation time. However, the experimental results show that compared with existing approaches, our proposed strategy gives better PAPR reduction with respect to SNR.

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PAPR reduction in OFDM using scaled particle swarm optimisation based partial transmit sequence technique

Cited by 18 publications

References 47 publications

Analysis of PAPR and BER Reduction in MIMO-OFDM using Hybrid Moth Flame-Improved Firefly Algorithm

Analysis of PAPR and BER Reduction in MIMO-OFDM using Hybrid Moth Flame-Improved Firefly Algorithm

Hybrid Domain Evaluation PTS with Adaptive Selection Methods for PAPR Reduction

PAPR Reduction and Encryption Based On Hybrid Optimized PTS and Chaotic-DFT Sequences in OFDM System

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