Mitigating Channel Aging and Phase Noise in Millimeter Wave MIMO Systems

We consider non-stationary and time-varying millimeter wave (mmWave) communication systems subjected to phase noise at both transmitter and receiver. Our aim is to compensate for practical imperfections in high-mobility scenarios, such as vehicle-to-everything (V2X). To this end, an analytical expre...

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Published inIEEE transactions on vehicular technology Vol. 70; no. 7; pp. 7237 - 7242
Main Authors Iimori, Hiroki, deAbreu, Giuseppe Thadeu Freitas, G., David Gonzalez, Gonsa, Osvaldo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Analytical models
Array signal processing
Autoregressive models
Beamforming
channel aging
Communications systems
Data models
Data transmission
Design criteria
Hardware
hardware impairments
Mean square error methods
Mean square errors
Millimeter wave communnications
Millimeter wave technology
Millimeter waves
MSE analysis
Noise
Optimization
Phase noise
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Abstract We consider non-stationary and time-varying millimeter wave (mmWave) communication systems subjected to phase noise at both transmitter and receiver. Our aim is to compensate for practical imperfections in high-mobility scenarios, such as vehicle-to-everything (V2X). To this end, an analytical expression of the mean square error (MSE) performance of the data transmission in mmWave communication systems is derived, taking into account both phase noise disturbance and time-varying effects modeled via a first-order auto-regressive (AR) model. Building on the latter result, a convergent minimum mean square error (MMSE) beamforming algorithm is then proposed, which is shown via simulations to outperform state-of-the-art beamforming methods designed to optimize MMSE as well as rate-maximization design criteria.
AbstractList We consider non-stationary and time-varying millimeter wave (mmWave) communication systems subjected to phase noise at both transmitter and receiver. Our aim is to compensate for practical imperfections in high-mobility scenarios, such as vehicle-to-everything (V2X). To this end, an analytical expression of the mean square error (MSE) performance of the data transmission in mmWave communication systems is derived, taking into account both phase noise disturbance and time-varying effects modeled via a first-order auto-regressive (AR) model. Building on the latter result, a convergent minimum mean square error (MMSE) beamforming algorithm is then proposed, which is shown via simulations to outperform state-of-the-art beamforming methods designed to optimize MMSE as well as rate-maximization design criteria.
Author G., David Gonzalez
Iimori, Hiroki
Gonsa, Osvaldo
deAbreu, Giuseppe Thadeu Freitas
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Snippet We consider non-stationary and time-varying millimeter wave (mmWave) communication systems subjected to phase noise at both transmitter and receiver. Our aim...
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SubjectTerms Algorithms
Analytical models
Array signal processing
Autoregressive models
Beamforming
channel aging
Communications systems
Data models
Data transmission
Design criteria
Hardware
hardware impairments
Mean square error methods
Mean square errors
Millimeter wave communnications
Millimeter wave technology
Millimeter waves
MSE analysis
Noise
Optimization
Phase noise
Title Mitigating Channel Aging and Phase Noise in Millimeter Wave MIMO Systems
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https://www.proquest.com/docview/2553591470
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