Nonlinear noise estimation and compensation in GFDM based communication systems for cognitive radio networks

Sendrei, Lukas; Marchevsky, S.

doi:10.1109/radioelek.2015.7129052

Cited by 13 publications

(5 citation statements)

References 8 publications

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“…As mentioned in [3], a lower PAPR is achieved employing GFDM compared to OFDM, assuming linear power amplifiers. However, as shown in [20,21], GFDM systems have high PAPR with nonlinear amplifiers, which leads to an inferior performance compared to the OFDM system, which is also observed in Fig. 6.This increase in PAPR (hence decrease in performance) can be due to larger symbol length of GFDM compared to OFDM.…”

Section: Simulation Resultsmentioning

confidence: 89%

Characterization of GFDM Signal with Timing Offset, CFO, Non-Linearity, and PN

Yazdani

Mohammadi

Abdipour

et al. 2021

Preprint

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In this paper, we study the joint effects of timing offset (TO), carrier frequency offset (CFO), nonlinear power amplifier distortion, and phase noise (PN) on generalized frequency division multiplexing (GFDM) system. Closed form expressions for signal-to-interference ratio (SIR) at GFDM receiver with synchronization errors and PN using a nonlinear power amplifier is derived. Then, we have been conducted simulation studies to compare the performance of GFDM systems with orthogonal frequency division multiplexing (OFDM) systems using matched filter (MF) and zero forcing (ZF), in presence of these impairments. The results show that GFDM systems are more robust against TO and PN while they are more sensitive to CFO and nonlinear distortion compared to OFDM systems.

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Section: Simulation Resultsmentioning

confidence: 89%

Characterization of GFDM Signal with Timing Offset, CFO, Non-Linearity, and PN

Yazdani

Mohammadi

Abdipour

et al. 2021

Preprint

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show abstract

“…Characterized by high flexibility, high energy efficiency and high throughput, GFDM is considered as a key promising technology for 5G [63] [64]. It has been proposed in [65] for cognitive radio and 5G type wireless communication. The authors first investigated the possibility of compensating for nonlinear noise effects in GFDM by proposing a new scheme that improves system error rates for two or four iterations.…”

Section: Gfdm and Its Variantsmentioning

confidence: 99%

A Comprehensive Survey of Candidate Waveforms for 5G, beyond 5G and 6G Wireless Communication Systems

Adoum¹,

Zoukalne²,

Idriss³

et al. 2023

OJAppS

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The evolution of global mobile data over the past decades in broadcasting, Internet of Things (IoT), education, healthcare, commerce, and energy has put strong pressure on 3G/4G mobile networks to improve their service offerings. These generations of mobile networks were initially invented to meet the requirements of the above-mentioned applications. However, as the requirements in these applications continue to increase, new mobile technologies such as 5G (fifth generation), 5G and beyond (B5G, beyond fifth generation), and 6G (sixth generation) are still progressing and being experimented. These networks are very heterogeneous generations of mobile networks that will have to offer very high throughput per user, good energy efficiency, better traffic capacity per area, improved spectral efficiency, very low latency, and high mobility. To meet these requirements, the radio interface of future mobile networks will have to be flexible and rationalized the available frequency resources. Therefore, new modulation methods, access techniques and waveforms capable of supporting these technological changes are proposed. This review presents brief descriptions of the types of 5G, B5G, and 6G waveforms. The 5G consists of OFDM including its transmission techniques: generalized frequency division multiplexing (GFDM), filter bank based multi-carrier (FBMC), universal filtered multi-carrier (UFMC), and index modulation (IM). Meanwhile, the 6G covers orthogonal time frequency space (OTFS), orthogonal chirp division multiplexing (OCDM) and orthogonal time sequence multiplexing (OTSM). The networks' potentialities, advantages, disadvantages, and future directions are outlined.

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“…Similarly to state-of-the-art IC methods [13], [14], the proposed approach is based on the detection of nonlinearly distorted data, their re-modulation and subtraction of the distortion from the received signal. The source of interference expected hereinafter is not the PA of U1, but the PA in the adjacent transmitter (U2) causing the interference to RX from outside the band.…”

Section: Proposed Interference Cancellermentioning

confidence: 99%

“…Recently, research on IC methods has also focused towards the application to multicarrier modulation waveforms. A GFDM receiver with single-user nonlinear in-band distortion cancellation has been studied in [13]. A method based on the Bussgang's theorem model of the PA output as the complex gain and the additive Gaussian noise component was presented in [14], with the widely-used assumption on perfect knowledge of the PA model.…”

Section: Introductionmentioning

confidence: 99%

Adjacent Channel Interference Cancellation in FDM Transmissions

Harvanek

Mars̆álek

Kral

et al. 2020

IEEE Trans. Circuits Syst. I

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Interference between users in adjacent channels negatively affects throughput of mobile networks. In this paper we aim at cancellation of interference caused by a nonlinear power amplifier in a generalized orthogonal frequency division system. We propose an interference cancellation method to subtract these out-of-band emissions from the received signal. In contrast to state-of-the-art methods, our proposed method employs over-the-air estimation of power amplifier model parameters together with a particular frequency domain filtering method that allows to generate the required training data. The proposed interference cancellation method is also verified by an experiment on a software defined radio test bench.

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Nonlinear noise estimation and compensation in GFDM based communication systems for cognitive radio networks

Cited by 13 publications

References 8 publications

Characterization of GFDM Signal with Timing Offset, CFO, Non-Linearity, and PN

Characterization of GFDM Signal with Timing Offset, CFO, Non-Linearity, and PN

A Comprehensive Survey of Candidate Waveforms for 5G, beyond 5G and 6G Wireless Communication Systems

Adjacent Channel Interference Cancellation in FDM Transmissions

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