Generalized Iterative Dichotomy PAPR Reduction Method for Multicarrier Waveforms

Tahkoubit, Khaled; Shaïek, Hmaied; Roviras, Daniel; Faci, Salim; Ali-Pacha, Adda

doi:10.1109/access.2021.3102848

Cited by 11 publications

(5 citation statements)

References 19 publications

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“…The major challenge in OFDM modulation is high PAPR which occurs when the nonlinear power ampli ers are operated near the saturation region. Thus, Khaled Tahkoubit et al [22] presented an e cient PAPR reduction model named Iterative Dichotomy. This method used analytical derivatives for decelerating the PAPR range.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, some researchers investigate attaining an optimal channel estimation approach. Some existing methods like closed-form based Symbol Error Rate (SER) [21], Iterative Dichotomy for PAPR reduction [22], and multiple access approach named Index modulation multiple access (IMMA) [23], etc., are developed to overcome the problems with tradition channel estimation techniques. However, the high BER and PAPR reduce the channel performances.…”

Section: Introductionmentioning

confidence: 99%

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An Optimized Neural Network-based Channel Estimation Approach for Noma Using Mimo

Dev¹,

Judson²

2023

Preprint

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The high demand for wireless communication and limited spectral power causes the conventional orthogonal multiple access approach ineffective for 5G communications. Thus, to specify the spectral inefficiency Multiple-input-multiple-output and non-orthogonal multiple access (MIMO-NOMA) were introduced. Here, MIMO and NOMA are integrated to earn to improve the channel capacity and spectral efficiency. However, the high Bit Error Rate (BER) and computational complexity in NOMA_MIMO due to successive interference cancellation (SIC) reduces the system performance for edge user. Thus, different channel estimation techniques are developed in the past to overcome these issues. But still, they face challenges in complexity and error rate. Hence, a novel hybrid Whale optimization algorithm with a Radial Basis Function Neural Network-based channel estimation method (WOA-RBFNN) was proposed in this article. The developed model estimates the path for data transmission for edge user and tunes the channel parameters till it attains their optimal value. The optimal fitness function in the proposed model offers the finest system performances in terms of Bit Error rate (BER), throughput, etc. Furthermore, the results are estimated and compared with the existing techniques for validation purposes. The comparative analysis proves that the developed model earned better performances than the existing ones especially for edge users.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Optimized Neural Network-based Channel Estimation Approach for Noma Using Mimo

Dev¹,

Judson²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Tis value can be used as one of the indicators to measure the stability of the communication system. A high PAPR of the system is likely to cause signal distortion, which will lead to an increase in the bit error rate (BER) of the system and result in hardware loss and system performance degradation, so it must be suppressed [50][51][52]. Te concept of PAPR was introduced into the study of human visual characteristics, and the peak-to-average ratio of saccade velocity (PARSV) was established to refect the dynamic balance degree of saccade behavior and to represent the stability of individual visual search ability, as defned in the following equation:…”

Section: Peak-to-average Ratio Of Saccade Velocitymentioning

confidence: 99%

Risk Assessment of Distracted Driving Behavior Based on Visual Stability Coefficient

Wang

Ding

Wang

2023

Journal of Advanced Transportation

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Cell phone call operations during driving can lead to distraction and cause potential safety hazards. In order to quantitatively characterize the influence of cell phone call mode on the driver’s visual behavior in different traffic conditions and to analyze the risk level of distracted driving from the visual level, a distracted driving simulation test was carried out based on a driving simulator and eye tracker. The eye movement data of drivers during normal driving, hands-free call, and video call under two typical traffic conditions of free flow and congested flow on the urban expressway were collected. Firstly, four visual characteristics indicators that were highly sensitive to traffic conditions and driving states were selected in terms of visual field range, visual recognition, visual search, and visual load, which were the information entropy of fixation area (IEFA), saccade amplitude, peak-to-average ratio of saccade velocity (PARSV), and relative change intensity of pupil area (RCPA). Then, based on the improved CRITIC method, the visual stability coefficient (VSC) was constructed as a new indicator to comprehensively assess the risk level of the driving state, and the assessment criteria were divided. Finally, the grey correlation analysis method was introduced to verify the assessment effect of VSC. The results show that different cell phone call modes increased driving risk in both traffic conditions. Among them, the negative influence of video calls on driving safety was significantly higher than that of hands-free calls, with a significant decrease in VSC, and the drivers’ VSC in the free flow scenario was more sensitive to the impact of cell phone call operation, and the driving risk increased significantly during distracted driving. The VSC can quantitatively assess driving risk from the perspective of visual psychological safety and contributes to the development of corresponding early warning and control measures.

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“…The OFDM symbol, x k , is a period-based periodic function, T p = 1∕Δf , and Δf the subcarrier spacing, as determined by Δf = B∕(N − 1) and B is the signal modulation bandwidth. Consequently, a high PAPR still exists in the real-valued time-domain OFDM signal envelope (Tahkoubit et al 2021).…”

Section: System Modelmentioning

confidence: 99%

A reduced PAPR hybrid OFDM visible light communication system

et al. 2022

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Orthogonal frequency division multiplexing (OFDM) is used by visible light communication (VLC) systems. Its main goal is to lessen inter-symbol interference's negative impacts. As a result, a lot of bandwidth and a high data rate are transmitted. Using OFDM-based VLC systems, nonetheless, have a high peak-to-average power ratio (PAPR). This research presents a new VLC system for indoor applications that reduces the PAPR while maintaining an acceptable bit error rate (BER). To achieve this, a hybrid pre-coding technique-based PAPR reduction solution is proposed; Vander-monde like matrix (VLM) combined with Gaussian matrix (GM). This technique takes advantage of both VLM and GM as a two stages for the signal to simultaneously reduce the PAPR and save the BER from damage. According to the results, the proposed solution (VLM in conjunction with GM) lowers the PAPR to 9.5 dB. Our system performs better when compared to other systems like discrete cosine transform (DCT), GM, VLM, DCT&GM, and original OFDM by 27%, 25%, 11%, 20%, and 34%, respectively.

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Generalized Iterative Dichotomy PAPR Reduction Method for Multicarrier Waveforms

Cited by 11 publications

References 19 publications

An Optimized Neural Network-based Channel Estimation Approach for Noma Using Mimo

An Optimized Neural Network-based Channel Estimation Approach for Noma Using Mimo

Risk Assessment of Distracted Driving Behavior Based on Visual Stability Coefficient

A reduced PAPR hybrid OFDM visible light communication system

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