PAPR Reduction in FBMC-OQAM Systems Using Trellis-based D-SLM with ABC Algorithm

Jirajaracheep, Panya; Mata, Tanairat; Boonsrimuang, Pisit

doi:10.1109/ecti-con49241.2020.9158300

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…However, the process of this algorithm required three-phase optimization: the employed bee, the scout bee, and the onlooker bee. Moreover, a control parameter limit value is used, where the process of this algorithm holds in four steps, as presented in 45,33 . The genetic optimization algorithm employs the crossover, mutation, selection, and control parameters.…”

Section: Complexity Analysis Of the Proposed Workmentioning

confidence: 99%

“…A technique for reducing PAPR in the OQAM/F-BMC (offset quadrature amplitude modulation/filter bank multicarrier modulation) system which combines the SLM and PTS with the ABC algorithm is proposed in 32 , simulation results demonstrate the effectivness of this technique, a significant PAPR reduction is acheived with lower complexity compared to the conventional PTS. In 33 ,the authors present a trellis based SLM to reduce the PAPR in the FBMC system, where a 10% reduction in computational complexity is achieved compared to the conventional SLM. However, the litterature reveals a significant lack in the use of optimization strategies for PAPR reduction in GFDM-based systems.…”

Section: Introductionmentioning

confidence: 99%

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JAYA algorithm based selective mapping for PAPR reduction in GFDM systems

Bouslam

Amadid

Bennioui

et al. 2023

Preprint

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Several techniques have been used to tackle the PAPR problem in Generalized Frequency Division Multiplexing (GFDM) systems. The Selective mapping (SLM) remains the most used alone or in combination with optimization algorithms in order to find optimal phase factors. Unfortunately, the complexity of implementation and the use of many control parameters are the main drawbacks of these techniques. This paper proposes an enhanced SLM technique to further improve the PAPR reduction in the GFDM system without increasing the system complexity. The proposed technique, i.e., JAYA-SLM, combines the JAYA algorithm with the SLM scheme. The simulation results demonstrate that the proposed JAYA-SLM technique is highly efficient in PAPR reduction without increasing the system complexity, wherein fewer used parameters. Also, it improves the system’s power saving and the Bit-Error-Rate (BER) performance when compared to others existing methods.

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Section: Complexity Analysis Of the Proposed Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

JAYA algorithm based selective mapping for PAPR reduction in GFDM systems

Bouslam

Amadid

Bennioui

et al. 2023

Preprint

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“…Recently, many metaheuristic algorithms are used to reduce the SLM technique's computational complexity, including the artificial bee colony algorithm [34], the quantum inspired evolutionary algorithm [35], the migrating birds' optimization algorithm [36], and the firefly algorithm [37]. However, metaheuristic algorithms degrade the PAPR reduction performance, unless use the same number of IFFT processes as the conventional SLM.…”

Section: Introductionmentioning

confidence: 99%

Low-complexity selective mapping technique for PAPR reduction in downlink power domain OFDM-NOMA

Mounir

Youssef

Aboshosha

2023

EURASIP J. Adv. Signal Process.

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To support ultra-massive connectivity, non-orthogonal multiple access (NOMA) techniques are expected to be used in 6G instead of conventional orthogonal multiple access (OMA) techniques. Furthermore, given that orthogonal frequency division multiplexing (OFDM) was used by 4G and 5G, NOMA is expected to be combined with OFDM to mitigate frequency selectivity in multipath channels. However, after passing through nonlinear high power amplifiers (HPAs), OFDM-NOMA has reportedly suffered from nonlinear distortion due to the high peak-to-average power ratio (PAPR) problem, thus reducing users’ achievable data rates, sum rate capacity, and users’ bit error rate after going through nonlinear HPAs. Many PAPR reduction techniques have been introduced in the literature; however, high PAPR reduction gain comes at the expense of computational complexity. In this paper, a novel selective mapping (SLM) scheme for PAPR reduction in OFDM-NOMA systems is proposed. By utilizing the structure of the OFDM-NOMA transmitter, the proposed SLM scheme achieves the same performance as that of the conventional SLM scheme while requiring less computational complexity.

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Reduced-Complexity Selective Mapping for Improving Wireless Communication in Smart Irrigation Systems

Hassan

2023

Wireless Pers Commun

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PAPR Reduction in FBMC-OQAM Systems Using Trellis-based D-SLM with ABC Algorithm

Cited by 5 publications

References 8 publications

JAYA algorithm based selective mapping for PAPR reduction in GFDM systems

JAYA algorithm based selective mapping for PAPR reduction in GFDM systems

Low-complexity selective mapping technique for PAPR reduction in downlink power domain OFDM-NOMA

Reduced-Complexity Selective Mapping for Improving Wireless Communication in Smart Irrigation Systems

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