Mitigating Channel Aging and Phase Noise in Millimeter Wave MIMO Systems

• Published in: IEEE 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
• Language: English
• 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
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2021.3086098

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.