PAPR Minimization of FBMC/OQAM Scheme by Hybrid SLM and PTS Using Artificial: Bee-Colony Phase—Optimization

Sidiq, Sumina; Sheikh, Javaid A.; Mustafa, Farhana; Malik, Bilal A.; Sofi, Ishfaq Bashir

doi:10.1007/s13369-021-05625-4

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…This method not only offers high PAPR reduction but also reduces the computational complexity of the PTS. 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.…”

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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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: 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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“…The 5G systems that are used to enhance the functioning of the system incorporate UDNs, massive multiple‐input‐multiple‐output (MIMO), concurrent full duplex, filter‐bank‐multicarrier, and device‐to‐device technology 3‐5 . The 5G technology experiences the problems of intensifying capacity and reducing energy utilization 6‐9 . Small cells like femtocells, picocells, and microcells are employed to enhance the coverage and improve the capacity of wireless systems.…”

Section: Introductionmentioning

confidence: 99%

“…[3][4][5] The 5G technology experiences the problems of intensifying capacity and reducing energy utilization. [6][7][8][9] Small cells like femtocells, picocells, and microcells are employed to enhance the coverage and improve the capacity of wireless systems. The above discussion also highlighted the objectives of 5G technology in terms of development of requisite cells for above mentioned applications.…”

Section: Introductionmentioning

confidence: 99%

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

Sidiq

Sheikh

Mustafa

et al. 2022

Trans Emerging Tel Tech

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Ultra-dense networks (UDNs) which comprise of small and macro cells, are considered the principal solution for increasing demands of data. However, making energy efficient networks will be a challenge for researchers. In this article, a hybrid optimization technique is proposed to enhance the energy efficiency (EE) of the UDNs, considering the user correlation and hybrid optimization of the density and transmitting power of the small-cell-base-station (SBS). More precisely, the problem framed is a problem of convex-linear programming and hence is divided into two sub-problems: cell correlation and hybrid optimization. The expression for the EE of the system is derived in the closed-form as a factor of the density of SBSs and small cell-range-development (CRD) bias dependent on the Poisson point process (PPP) followed by the sequential-search-algorithm to improve the small CRD bias and SBS density correspondingly. Additionally, to realize hybrid optimization of the small CRD bias and density of SBSs, a heuristic algorithm is put forward to accomplish the EE of the system. It is revealed from the simulation outcomes that the proposed small CRD bias and SBS density hybrid optimization significantly enhances the EE of the system with low computational intricacy.

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PTS with Phase Factor-Based Reptile Search Algorithm and Hybrid Coding Approach for PAPR and BER Reduction in MIMO-OFDM

Krishna Reddy,

Merlin Sheeba

2023

Advances in Intelligent Systems and Computing

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PAPR Minimization of FBMC/OQAM Scheme by Hybrid SLM and PTS Using Artificial: Bee-Colony Phase—Optimization

Cited by 9 publications

References 34 publications

JAYA algorithm based selective mapping for PAPR reduction in GFDM systems

JAYA algorithm based selective mapping for PAPR reduction in GFDM systems

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

PTS with Phase Factor-Based Reptile Search Algorithm and Hybrid Coding Approach for PAPR and BER Reduction in MIMO-OFDM

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