RIS-Aided Phase Noise Compensation in MIMO Frequency-Selective Systems

Phase noise (PN) generated from imperfect oscillators can destroy transmitted data, for instance, by random rotation of the received signal constellation, amplitude variation in multi-antenna systems, or spectrum regrowth. In this work, we develop a decision-directed PN compensation approach using recursive least squares (RLS) with a forgetting factor to compensate for independent local oscillator PN at a multi-antenna receiver in a frequency-selective system. We employ a single reconfigurable intelligent surface (RIS) configured offline and without PN knowledge via the power method. Simulation results show how RIS-only or RIS-aided links can improve PN estimation and detection over a direct link alone at lower signal-to-noise ratio (SNR) settings and motivate future PN estimation improvements in RIS-aided systems.

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Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10756802
Primary Topic
Optical Network Technologies
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article
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article

RIS-Aided Phase Noise Compensation in MIMO Frequency-Selective Systems

Brian L. Evans, Keith R. Tinsley, Pooja Nuti
Optical Network Technologies
article

RIS-Aided Phase Noise Compensation in MIMO Frequency-Selective Systems

Brian L. Evans, Keith R. Tinsley, Pooja Nuti
article en

Abstract

Phase noise (PN) generated from imperfect oscillators can destroy transmitted data, for instance, by random rotation of the received signal constellation, amplitude variation in multi-antenna systems, or spectrum regrowth. In this work, we develop a decision-directed PN compensation approach using recursive least squares (RLS) with a forgetting factor to compensate for independent local oscillator PN at a multi-antenna receiver in a frequency-selective system. We employ a single reconfigurable intelligent surface (RIS) configured offline and without PN knowledge via the power method. Simulation results show how RIS-only or RIS-aided links can improve PN estimation and detection over a direct link alone at lower signal-to-noise ratio (SNR) settings and motivate future PN estimation improvements in RIS-aided systems.

Tektronix (United States) (US), The University of Texas at Austin (US)
Affordable and clean energy
Openalex Percentile: Top 77%
Optical Network Technologies
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RIS-Aided Phase Noise Compensation in MIMO Frequency-Selective Systems — Brian L. Evans, Keith R. Tinsley, et al. · (2024) | TGRS Research Map | TGRS