Analytical Analysis of SER for Beyond 5G Post-OFDM Waveforms in Presence of High Power Amplifiers

Shaïek, Hmaied; Zayani, Rafik; Medjahdi, Yahia; Roviras, Daniel

doi:10.1109/access.2019.2900977

Cited by 27 publications

(26 citation statements)

References 31 publications

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“…To facilitate the following analysis, we will consider a NOMA-OFDM system with two users using Q-PSK modulation. In this case, the expression presented in (22) allows to define the decision variables of the two users:…”

Section: B Exact Ber Expressionsmentioning

confidence: 99%

“…However, this waveform has some disadvantages, such as high out-of-band emission (OOBE) and its high peak-toaverage power ratio (PAPR) [20,21]. This high PAPR is due to its multi-carrier nature and can generate non-linear distortions in the OFDM signal when it passes through a non-linear High Power Amplifier (HPA) [22]. As a result of these non-linear distortions, a self-interference is produced, which degrades the system performance.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, studies that analyze the effect of HPA in OFDM are very important. In the literature, several works that explore the impact of HPA without memory can be found, for instance, the performance analysis in terms of SER, BER, and power spectral density [22][23][24], analysis of techniques for reducing the PAPR and linearization of HPA [25][26][27], implementation of PAPR reduction techniques [28][29][30] among others. However, although for wideband systems, memory effects should not be disregarded, very few papers analyzing this scenario can be found in the literature [31].…”

Section: Introductionmentioning

confidence: 99%

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Bit Error Rate Analysis of NOMA-OFDM in 5G Systems With Non-Linear HPA With Memory

et al. 2021

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The orthogonal frequency division multiplexing (OFDM) and the non-orthogonal multiple access (NOMA) scheme are presented as promising techniques to meet the requirement of fifth-generation (5G) communication systems. Although much attention has recently been devoted to study these techniques, some scenarios have still been less explored. Considering that a fundamental part of any communication system is the use of power amplifiers, this paper presents an analytical evaluation of the bit error rate (BER) of NOMA-OFDM systems in the presence of a high power amplifier (HPA) with memory. Considering that the non-linear distortions generated by the HPA can be modeled using a polynomial model with memory, new theoretical expressions are developed to obtain the BER of the system. Specifically, exact BER expressions for a downlink NOMA-OFDM system with two users are presented and verified by Monte Carlo simulation results. The obtained numerical results demonstrate that the performance degradation of both users is highly dependent on the non-linear distortions, even when the successive interference cancellation (SIC) technique is performed perfectly.INDEX TERMS 5G, bit error rate, high power amplifier, non-linearity, non-orthogonal multiple access, orthogonal frequency division multiplexing.

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Section: B Exact Ber Expressionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bit Error Rate Analysis of NOMA-OFDM in 5G Systems With Non-Linear HPA With Memory

et al. 2021

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“…In order to reduce interferences between symbols and conflicts with the multipath channels, cyclic prefix OFDM (CP-OFDM) is proposed and widely used [30]. Recently, based on CP-OFDM, some new post-OFDM waveforms have been proposed to smooth the transition between OFDM symbols, such as weighted overlap and add based OFDM (WOLA-OFDM), filtered-OFDM (f-OFDM), filter-bank multi-carrier based on offset quadrature amplitude modulation (FBMC/OQAM) [31], [32]. However, these waveforms use IFFT on each OFDM symbol separately, resulting in their amplitude envelope characteristics similar in each symbol.…”

Section: A System Model and Papr Problemmentioning

confidence: 99%

Iterative Clipping-Noise Compression Scheme for PAPR Reduction in OFDM Systems

et al. 2019

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The application of orthogonal frequency division multiplexing (OFDM) has become more and more widespread in recent years. However, the high peak-to-average power ratio (PAPR) problem is still one of the critical issues in the implementation of OFDM systems. Among the techniques of PAPR reduction, iterative clipping and filtering (ICF) is widely used due to its easy implement, and many ICF-based methods have been proposed recently. The optimized ICF (OICF) further has been designed with an optimized filter and achieves faster convergence rate. And the simplified OICF (SOICF) applies Lagrange multiplier method to simplify the problem solving as compared to OICF. The approach saves SOICF from using complicated convex optimization methods. Most recently the clipping-noise compression (CNC) method is proposed to reduce the required number of Fourier transforms by compressing the clipping noise in the time domain. Based on SOICF, this paper adopts clipping and noise compression to replace the calculation of PAPR-reduction vector in each iteration. Analysis shows that the computational complexity of the proposed scheme is lower than SOICF. In addition, we have improved the CNC technique and introduced a compression threshold in the proposed scheme. In each iteration, only the components whose amplitude exceeds the compression threshold are compressed, while the others remain unchanged. To this end, this reduces the amount of information lost, resulting in better BER performance. The simulation results show that the proposed scheme has better BER performance than SOICF, and better PAPR reduction than CNC. When equal amounts of PAPR reduction by the evaluated methods are actually achieved, the BER performance of the proposed scheme is better than SOICF and CNC, especially with high-order modulation or lower clipping ratio.INDEX TERMS Peak to average power ratio (PAPR), orthogonal frequency division multiplexing (OFDM), noise compression, computational complexity, iterative clipping and filtering (ICF).

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“…Moreover, from the analysis of the waveforms frequency localization and spectral efficiency, it was established that each multicarrier waveform is suitable for a different application. Hence these waveforms are still considered as strong candidates for beyond 5G technologies [13]- [16].…”

Section: Introductionmentioning

confidence: 99%

Filtered Multicarrier Waveforms Classification: A Deep Learning-Based Approach

2021

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Automatic signal recognition (ASR) plays an important role in various applications such as dynamic spectrum access and cognitive radio, hence it will be a key enabler for beyond 5G communications. Recently, many research works have been exploring deep learning (DL) based ASR, where it has been shown that simple convolutional neural networks (CNN) can outperform expert features based techniques. However, such works have been primarily focusing on single-carrier signals. With the advent of spectrally efficient filtered multicarrier waveforms, we propose in this paper, to revisit the DL based ASR to account for the variety and complexity of these new transmission schemes. Specifically, we design two types of classification algorithms. The first one relies on the cyclostationarity characteristics of the investigated waveforms combined with a support vector machine (SVM) classifier; while the second one explores the use of a four-layer CNN which performs both features extraction and classification. The proposed approaches do not require any a priori knowledge of the received signal parameters, and their performance is evaluated in a multipath channel through simulations for a signal-to-noise ratio (SNR) ranging from −8 to 20 dB. The simulation results show that, despite cyclostationary characteristics being highly discriminative, the CNN outperforms the cyclostationary based classification especially for short time received signals, and low SNR levels.INDEX TERMS Automatic signal recognition, multicarrier waveforms, classification, deep neural networks, support vector machines, cyclostationarity.

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Analytical Analysis of SER for Beyond 5G Post-OFDM Waveforms in Presence of High Power Amplifiers

Cited by 27 publications

References 31 publications

Bit Error Rate Analysis of NOMA-OFDM in 5G Systems With Non-Linear HPA With Memory

Bit Error Rate Analysis of NOMA-OFDM in 5G Systems With Non-Linear HPA With Memory

Iterative Clipping-Noise Compression Scheme for PAPR Reduction in OFDM Systems

Filtered Multicarrier Waveforms Classification: A Deep Learning-Based Approach

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