Performance Evaluation and Analysis of Peak to Average Power Reduction in OFDM Signal

Geetha, M.; Mahadevaswamy, U. B.

doi:10.1007/s11277-020-07140-5

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…Geetha and Mahadevaswamy, [12] proposed Slepian based flat-top window and harmonious kernel adaptive window for signal optimization for the elimination of noise and orthogonal maintenance. The amplitude measurement and stochastic resembling method were applied to lessen the information loss and window average out noise in the spectrum to reduce the PAPR.…”

Section: Literature Reviewmentioning

confidence: 99%

Nested Particle Swarm Optimization and Grey Wolf Optimization for Phase Optimization in Orthogonal Frequency Division Multiplexing

2022

IJIES

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In wireless communication systems, Multiple-Input Multiple-Out (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) were widely used technology. Spectrum utilization efficiency is needed to improve in OFDM technology for effective performance. A Nested Particle Swarm Optimization and Grey Wolf Optimization (HPSO-GWO) is proposed with the Low-Density Parity-Check (LDPC) coding scheme for minimizing the errors that occurred while transmitting the data bits over the MIMO-OFDM. The Nested PSO-GWO process involves in update the velocity of PSO using GWO method that helps to increases the convergence rate and balance the trade-off between exploration-exploitation process. The optimal velocity update in the PSO helps to escape from local optima trap in the search process and improve the efficiency of the model. Generally, the linear error-correcting codes are applied in Low-Density Parity-Check (LDPC) that is used to transmit the message in a noisy channel. Fast Fourier Transform (FFT), CP removal, and the Serial to Parallel (S/P) are accomplished as well as the received data bits are demodulated to obtain the output bits on the receiver side. The proposed method has 10-2 CCDF in 5.6 PAPR and the existing method requires more than 6 PAPR to achieve 10-2 CCDF.

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Section: Literature Reviewmentioning

confidence: 99%

Nested Particle Swarm Optimization and Grey Wolf Optimization for Phase Optimization in Orthogonal Frequency Division Multiplexing

2022

IJIES

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“…OFDM of Multiple-Input Multiple-Output (MIMO) has received wide attention due to its advantages such as channel fading robustness, fading environment diversity, spectral efficiency and high data rate. However, the OFDM-MIMO also suffers from disadvantages such as high envelope fluctuations in a transmitted signal called PAPR that decreases the HPA efficiency, increases complexity of non-linear elements and Bit Error Rate (BER) degradation occurs from out-of-band radiation [8][9][10]. The contribution of this research is discussed below.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Mayfly Optimization in Phase Optimization of OFDM

Azeez

Tarannum

2023

IIUMEJ

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Communication systems have been used tremendously in recent years which results in the need for high data transmission rates. Orthogonal Frequency Division Multiplexing (OFDM) provides robust performance in frequency selective fading due to high bandwidth efficiency and inter-symbol interference. Various optimization techniques were applied in existing research to increase the efficiency of OFDM in a communication system. The existing research has a limitation of considering a single objective to improve the efficiency of OFDM and also has a local optima trap. This research proposes a Multi-Objective Mayfly algorithm (MOMF) to consider multi-objective and provides a proper trade-off between exploration and exploitation. The Partial Transmit Sequence (PTS) is applied in the model to test the performance. The FFT sizes and modulation orders are varied to evaluate the performance of the MOMF technique in phase optimization. The MOMF technique effectively increases the performance of the model than other existing optimization techniques. The MOMF technique provides a non-dominated solution to escape from local optima trap. The MOMF model considers PAPR, BER, and SER in MIMO-OFDM system to increase the efficiency of the system. The exploration-exploitation trade-off helps to improve the convergence and overcome local optima trap. The MOMF in OFDM phase optimization was evaluated using BER, SER, and Peak-to-Average Power Ratio (PAPR) metrics. The MOMF method has PAPR of 3.95 dB and PSO-GWO method has 4.92 dB of PAPR. ABSTRAK: Sistem komunikasi telah digunakan secara meluas sejak beberapa tahun ini dan dapatan kajian menunjukkan keperluan pada kadar transmisi data yang tinggi. Pemultipleksan Bahagian Frekuensi Ortogon (OFDM) menyediakan prestasi berkesan dalam pemilihan pemudaran frekuensi berdasarkan keberkesanan lebar jalur tinggi dan gangguan antara-simbol. Pelbagai teknik optimum digunakan pada kajian sebelum ini bagi meningkatkan keberkesanan OFDM dalam sistem komunikasi. Kajian tersebut mempunyai kekurangan dalam memilih satu objektif bagi membaiki keberkesanan OFDM dan juga mempunyai perangkap optima setempat. Kajian ini mencadangkan algoritma Mayfly Objektif-Pelbagai (MOMF) bagi memilih objektif-pelbagai dan menyediakan keseimbangan yang wajar antara eksplorasi dan eksploitasi. Urutan Pancar Separa (PTS) telah digunakan dalam model ini bagi menguji prestasi. Saiz FFT dan turutan modulasi dipelbagaikan bagi menguji keberkesanan teknik MOMF pada fasa pengoptimuman. Teknik MOMF dengan berkesan menaikkan prestasi model ini berbanding teknik-teknik sedia ada yang lain. Teknik MOMF menyediakan solusi kepada teknik bukan-dominasi bagi mengelak perangkap optima setempat. Model MOMF ini mengambil kira PAPR, BER, dan SER dalam sistem MIMO-OFDM bagi meningkatkan kecekapan sistem. Keseimbangan yang wajar antara eksplorasi-eksploitasi membantu dalam membaiki penumpuan dan mengatasi perangkap optima setempat. MOMF dalam fasa optimanisasi OFDM telah dinilai menggunakan BER, SER, dan matrik Nisbah Kuasa Puncak-kepada-Purata (PAPR). Kaedah MOMF mempunyai nilai PAPR sebanyak 3.95 dB dan kaedah PSO-GWO mempunyai PAPR 4.92 dB.

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“…The FBMC system is explored in this study [27][28][29], which includes two unique companding operations at the transmitter. The authentic signal amplitude is changed into a predetermined distribution in this work to reallocate the statistics of the compounded signal more freely.…”

Section: Introductionmentioning

confidence: 99%

PAPR Reduction of FBMC Signals Based on Uniform and Linear PDF Companding Schemes

Ramavath¹,

Samal²

2021

Preprint

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In this paper, two new companders are designed to reduce the ratio of peak to average power (PAPR) experienced by filter bank multicarrier (FBMC) signals. Specifically, the compander basic model is generalized, which alter the distributed FBMC signal amplitude peak. The proposed companders design approach provides better performance in terms of reducing the PAPR, Bit Error Rate (BER) and phase error degradation over the previously existing compander schemes. Many PAPR reduction approaches, such as the µ-law companding technique, are also available. It results in the formation of spectrum side lobes, although the proposed techniques result in a spectrum with fewer side lobes. The theoretical analysis of linear compander and expander transform for a few specific parameters are derived and analyzed. The suggested linear companding technique is analytically analysed using simulations to show that it efficiently decreases the high peaks in the FBMC system.

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Performance Evaluation and Analysis of Peak to Average Power Reduction in OFDM Signal

Cited by 9 publications

References 26 publications

Nested Particle Swarm Optimization and Grey Wolf Optimization for Phase Optimization in Orthogonal Frequency Division Multiplexing

Nested Particle Swarm Optimization and Grey Wolf Optimization for Phase Optimization in Orthogonal Frequency Division Multiplexing

Multi-Objective Mayfly Optimization in Phase Optimization of OFDM

PAPR Reduction of FBMC Signals Based on Uniform and Linear PDF Companding Schemes

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