Pilot-Based Phase Noise Tracking for Uplink DFT-s-OFDM in 5G

Sibel, Jean-Christophe

doi:10.1109/ict.2018.8464891

Cited by 14 publications

(5 citation statements)

References 6 publications

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“…We insert one pilot every L DD subcarriers in the Doppler axis. Before the demodulation at the reception, we estimate and compensate the effects of PN using the CPE Estimation (CPEE) algorithm defined as follows [9]:…”

Section: B Ptrs In Dd Domainmentioning

confidence: 99%

“…The analysis of PN effects on OFDM and DFT-s-OFDM has been studied in [7], [8], [9] and shows that the compensation of PN effects is necessary. The authors in [10] demonstrated that inscreasing the subcarrier spacing (SCS) can be a practical solution to reduce the inter-carrier interference (ICI) caused by PN.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, they proposed a new phase tracking reference signal (PTRS) scheme to enhance the channel estimation. Some estimation algorithms are presented in [8] and [9] respectively to compensate PN impairments in OFDM and DFT-s-OFDM systems. OTFS with presence of PN was studied in [11]- [12] but, authors did not propose PN estimation algorithm.…”

Section: Introductionmentioning

confidence: 99%

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OTFS Waveform with Phase Noise in sub-THz

Bello

Barnola

Demmer

et al. 2022

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

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The availability of large bandwidths in the sub-THz bands appears to be a solution for increasing the capabilities of future wireless communication technologies. However, phase noise generated by oscillators in these bands generates significant signal distortion which needs to be addressed. In this paper, we study the impact of phase noise on OTFS. We propose phase noise compensation scheme and associated frame format. Two dedicated pilot schemes are studied for the phase noise tracking: the first one consists in adding pilots in the delay-Doppler (DD) domain while the other in the delay-Time (DT) domain. We highlight that compensating phase noise in DT domain gives better performance. A comparison between OFDM, DFT-s-OFDM and OTFS according to the 5G-NR numerology is presented. We show that the OTFS waveform is robust to phase noise and may even significantly outperform OFDM and DFT-s-OFDM.

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Section: B Ptrs In Dd Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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OTFS Waveform with Phase Noise in sub-THz

Bello

Barnola

Demmer

et al. 2022

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

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show abstract

“…These signals play a crucial role in facilitating phase noise tracking, enabling the estimation and subsequent correction of phase noise to ensure precise data decoding. In a related study [10], the authors explored various interpolation techniques, including Discrete Cosine Transform and Kalman filtering, to track phase noise variations. These techniques empower the receiver to implement correction mechanisms based on the estimated phase noise, effectively minimizing packet losses.…”

Section: Introductionmentioning

confidence: 99%

Pre-DFT Multiplexing of Reference Signals and Data in DFT-s-OFDM Systems

Gudimitla,

Khan,

Amuru

et al. 2024

IEEE Open J. Commun. Soc.

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The current 5 th Generation-New Radio (5G-NR) systems are designed to meet the demands of various applications, offering high data rates, low latency, and high reliability. In the current 5G-NR systems, the Discrete Fourier Transform-spread-Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) waveform is the most commonly employed waveform to transmit user data in uplink transmissions, specifically in coveragelimited scenarios. To enable coherent data demodulation, pilot signals, commonly referred to as Demodulation Reference Signals (DMRS), are transmitted along with data-carrying DFT-s-OFDM symbols. However, in the current DFT-s-OFDM architecture, the DMRS and data are transmitted on distinct OFDM symbols. This time separation necessitates the demodulation process to commence only after receiving the initial DMRS symbol, resulting in significant processing delays. Furthermore, the existing architecture consumes more DMRS resources and necessitates complex time interpolation techniques to support users with high mobility. To address these challenges, we propose an improved DFT-s-OFDM architecture that enables instantaneous data demodulation, leading to a substantial reduction in processing delays. Furthermore, despite not utilizing any time interpolation techniques, the proposed method effectively caters to high-speed users, thereby conserving computational resources and hence contributing to minimizing the system complexity and latency. We thoroughly investigate the proposed architecture and evaluate its performance in different simulation settings. The results demonstrate that the proposed architecture significantly improves packet error performance, particularly in high Doppler scenarios, while using 16% lesser DMRS overhead. This reduction in DMRS overhead frees up additional resources for data transmission, ultimately enhancing data rates.

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“…Most of them are designed for orthogonal frequency division multiplexing (OFDM) systems, such as ICI cancellation [3], [4]. In discrete Fourier transform-spread-OFDM (DFT-s-OFDM) systems, some PN estimation algorithms are described in [5] such as common phase error estimation (CPEE), linear interpolation (LI), discrete cosine transform (DCT), Kalman filter. CPEE and LI algorithms are considered in this work because of their low complexity implementation.…”

Section: Introductionmentioning

confidence: 99%

Wiener Interpolation Filter for Phase Noise Estimation in sub-THz Transmission

Bello,

Doré,

Demmer

2023

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)

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High frequency transmissions above 90 GHz, as planned for the future generation of communication technology called 6G, have to deal with oscillator-induced phase noise. This phase noise deteriorates the system performance and then, signal processing techniques are mandatory to counteract its effects. In this paper, we describe and analyze a phase noise estimation algorithm based on an Wiener interpolation filter. The proposed technique is waveform agnostic and can be applied either to 5G-NR mutlicarrier waveforms such as orthogonal frequency division multiplexing (OFDM) and discrete Fourier transform spread OFDM (DFT-s-OFDM), or to single carrier systems. In this study, we highlight the feasibility of this algorithm in practical scenarios by providing both a theoretical analysis and a performance evaluation.

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Pilot-Based Phase Noise Tracking for Uplink DFT-s-OFDM in 5G

Cited by 14 publications

References 6 publications

OTFS Waveform with Phase Noise in sub-THz

OTFS Waveform with Phase Noise in sub-THz

Pre-DFT Multiplexing of Reference Signals and Data in DFT-s-OFDM Systems

Wiener Interpolation Filter for Phase Noise Estimation in sub-THz Transmission

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