Adaptive Predistortion Techniques for Non-Linearly Amplified FBMC-OQAM Signals

Zayani, Rafik; Medjahdi, Yahia; Bouhadda, Hanen; Shaïek, Hmaied; Roviras, Daniel; Bouallègue, Ridha

doi:10.1109/vtcspring.2014.7022810

Cited by 23 publications

(9 citation statements)

References 18 publications

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“…As shown in figure 4, at SNR=40 dB, the inverse HPA model compensation method is used without clipping. The BER of [11] , compared with the algorithm in [11,35], the BER of the proposed algorithm is reduced by 4 0.7 10   . The proposed algorithm effectively improves PAPR reduction and the working efficiency of HPA.…”

Section: Ber Performancementioning

confidence: 99%

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Novel Algorithm for Nonlinear Distortion Reduction Based on Clipping and Compressive Sensing in OFDM/OQAM System

Vaigandla

Benita

2022

IJEER

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Orthogonal Frequency Division Multiplexing with Offset Quadrature Amplitude Modulation (OFDM/OQAM) signal has high peak-to-average power ratio (PAPR) problem. It not only affects the distortion in High Power Amplifier (HPA) but also results in bit error ratio (BER) degradation. In this paper an improved algorithm based on Clipping and Compressed Sensing (CS) is proposed. The transmitter uses clipping to reduce the PAPR and, the receiver uses an improved inverse model, to reduce the nonlinear distortion introduced by HPA and CS cancels the signal distortion introduced by clipping. Simulation results show that the proposed method not only significantly reduces the PAPR of OFDM/OQAM signals, but also effectively improves the BER performance of the system.

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Section: Ber Performancementioning

confidence: 99%

“…OFDM/OQAM signal has the disadvantage of PAPR [33][34][35][36]. The power amplifier at the transmitter will cause severe nonlinear distortion to the OFDM/OQAM signal, and affect the system's BER performance, solid-state power amplifier [11,31] (SPA) is one of the commonly used amplifiers.…”

Section: ░ 2 Ofdm/oqam Systemmentioning

confidence: 99%

Novel Algorithm for Nonlinear Distortion Reduction Based on Clipping and Compressive Sensing in OFDM/OQAM System

Vaigandla

Benita

2022

IJEER

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“…To this end, we design a neural network to specifically tackle amplitude and phase impairments separately through a polar decomposition of the signal. According to [32], tackling AM/AM and AM/PM distortions gives better results which motivates this choice. It results in a dedicated architecture.…”

Section: Ai Assisted Hardware and Technology Effectiveness In 6g A Ex...mentioning

confidence: 99%

Toward 6G: From New Hardware Design to Wireless Semantic and Goal-Oriented Communication Paradigms

Strinati¹,

Belot²,

Falempin³

et al. 2021

Preprint

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Several speculative visions are conjecturing on what 6G services will be able to offer at the horizon of 2030. Nevertheless, the 6G design process is at its preliminary stages. The reality today is that hardware, technologies and new materials required to effectively meet the unprecedented performance targets required for future 6G services and network operation, have not been designed, tested or even do not exist yet. Today, a solid vision on the cost-benefit trade-offs of machine learning and artificial intelligence support for 6G network and services operation optimization is missing. This includes the possible support from hardware efficiency, operation effectiveness and, the immeasurable cost due to data acquisition-transfer-processing. The contribution of this paper is three-fold. This is the first paper deriving crucial 6G key performance indicators on hardware and technology design. Second, we present a new hardware technologies design methodology conceived to enable the effective software-hardware components integration required to meet the challenging performance envisioned for future 6G networks. Third, we suggest a paradigm shift towards goal-oriented and semantic communications, in which a totally new opportunity of joint design of hardware, artificial intelligence and effective communication is offered. The proposed vision is consolidated by our recent results on hardware, technology and machine learning performance.

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“…To avoid the distortion of the signal, the HPA linearization design is often required. Many HPA linearization methods have been proposed based on the look-up table (LUT) or models such as a Volterra series, the rational function, Wiener-Hammerstein systems, and memory polynomial model [2]. For model-based approaches, the polynomial model is the simplest technique and is commonly used for implementation.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Power Amplifier Characteristic Based on Orthogonal Polynomials Method for FBMC Systems

Songratthaset

Pattaramalai

2018

2018 11th IFIP Wireless and Mobile Networking Conference (WMNC)

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Adaptive Predistortion Techniques for Non-Linearly Amplified FBMC-OQAM Signals

Cited by 23 publications

References 18 publications

Novel Algorithm for Nonlinear Distortion Reduction Based on Clipping and Compressive Sensing in OFDM/OQAM System

Novel Algorithm for Nonlinear Distortion Reduction Based on Clipping and Compressive Sensing in OFDM/OQAM System

Toward 6G: From New Hardware Design to Wireless Semantic and Goal-Oriented Communication Paradigms

Nonlinear Power Amplifier Characteristic Based on Orthogonal Polynomials Method for FBMC Systems

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