A Feedforward Partial Phase Noise Mitigation in the Time-Domain using Cyclic Prefix for CO-OFDM Systems

Ha, Youngsun; Chung, Wonzoo

doi:10.3807/josk.2013.17.6.467

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…In order to mitigate the deterioration of the signal due to the impairments of the experimental system, several digital signal process (DSP) blocks are carried out. These DSP processes are realized for both directions and are the next: a synchronization process by using the added preamble in the beginning of the transmitted signal; a coarse carrier frequency offset (CFO) procedure by using the synchronization preamble; a channel equalizer by using the DM-RS signals allocated in very slot; and a linear interpolation based intercarrier interference (ICI) estimation technique (also called LI-CPE) that uses the PT-RS signals and CP of every OFDM symbol to compensate the common phase error (CPE) produced by the phase noise [11].…”

Section: Methodsmentioning

confidence: 99%

Bidirectional mm-Wave ARoF Fronthaul over Multicore Fiber for 5G and Beyond

Santacruz

Nazarikov

Rommel

et al. 2021

2021 International Topical Meeting on Microwave Photonics (MWP)

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Section: Methodsmentioning

confidence: 99%

Bidirectional mm-Wave ARoF Fronthaul over Multicore Fiber for 5G and Beyond

Santacruz

Nazarikov

Rommel

et al. 2021

2021 International Topical Meeting on Microwave Photonics (MWP)

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“…At this point, the OFDM receiver block starts by removing the CP. For more accurate CFO compensation, the advanced LI-CPE method 36 is used, harnessing the inserted PT-RS symbols. Furthermore, this LI-CPE method allows efficient mitigation of the common phase error (CPE) induced by the phase noise that equally affects all the subcarriers of each OFDM symbol 36 .…”

Section: Measurement Setup and Signal Processingmentioning

confidence: 99%

Outdoor mm-wave 5G/6G transmission with adaptive analog beamforming and IFoF fronthaul

Pérez Santacruz,

Meyer,

Budé

et al. 2023

Sci Rep

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Adaptive analog beamforming is a key technology to enable spatial control of millimeter-wave wireless signals radiated from phased array antennas (PAAs) which is essential to maximize the capacity of future mobile networks and to ensure efficient usage of scarce spectrum. Intermediate frequency-over-fiber (IFoF), on the other hand, is a promising technology for the millimeter-wave (mm-wave) mobile fronthaul due to its low complexity, high optical spectral efficiency, and low latency. The combination of IFoF and PAA is key to implement mm-wave mobile communications in a scalable, centralized, efficient, and reliable manner. This work presents, for the first time to the best of the authors’ knowledge, an extensive outdoor measurement campaign where an experimental IFoF mm-wave wireless setup is evaluated by using PAAs with adaptive beamforming on the transmitter and receiver sides. The configuration of the experimental setup is according to 5G standards, transmitting signals wirelessly at 27 GHz central frequency in the n258 band. The employed PAAs are composed of 8-by-8 patch antenna arrays, allowing beam steering in the azimuth and elevation angles. Furthermore, different end-user locations, antenna configurations, and wireless scenarios are tested in the outdoor experiment, showing excellent EVM performance and achieving 64-QAM transmission over up to 165.5 m at up to 1.88 Gbit/s. The experimental results enable optimization of the experimental setup for different scenarios and prove the system’s reliability in different wireless conditions. In addition, the results of this work prove the viability and potential of IFoF combined with PAA to be part of the future 5G/6G structure.

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“…Then, the CP is removed in every OFDM symbol and a discrete Fourier transform (DFT) is realized to move into the frequencydomain. Later, a linear interpolation based intercarrier interference (ICI) estimation technique is executed by employing the PT-RS signals inserted in every OFDM symbol [27]. This method is also denominated LI-CPE and its function consists of compensating the common phase error (CPE) and ICI produced by phase noise and CFO [28].…”

Section: Dsp Processmentioning

confidence: 99%