Estimation and Tracking for Millimeter Wave MIMO Systems Under Phase Noise Problem
Millimeter wave (mmWave) system is a key technology for the fifth generation (5G). Precoding techniques can be applied in the radio frequency (RF) stage to achieve spatial multiplexing gain. Studying the problems of hardware imperfections in the RF stage for mmWave communication system is very impor...
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| Published in: | IEEE access Vol. 8; pp. 228009 - 228023 |
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2020
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| Abstract | Millimeter wave (mmWave) system is a key technology for the fifth generation (5G). Precoding techniques can be applied in the radio frequency (RF) stage to achieve spatial multiplexing gain. Studying the problems of hardware imperfections in the RF stage for mmWave communication system is very important because it can affect the transmitted signals and overall system performance. In this article, mmWave MIMO system under phase noise problem is proposed. In addition, an optimization problem for the design of hybrid precoder under phase noise is formulated. An alternating minimization algorithm using manifold optimization is proposed to close the performance of the fully digital precoder. A realistic power consumption model is considered. To estimate the mmWave channel parameters and to track the phase noise parameters, a Bayesian Cramér-Rao lower bounds (BCRLBs), Kalman filter, least square (LS) and maximum a posterior (MAP) algorithms are proposed. Furthermore, the proposed system with ideal hardware mmWave system is compared with non-ideal system under amplified thermal noise and residual additive transceiver hardware impairments. Spectral efficiencies (SEs) of the proposed system are provided with different scenarios. The analytical and simulation tests show that the influence of phase noise problem may decrease SE performance, especially at higher phase noise. |
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| AbstractList | Millimeter wave (mmWave) system is a key technology for the fifth generation (5G). Precoding techniques can be applied in the radio frequency (RF) stage to achieve spatial multiplexing gain. Studying the problems of hardware imperfections in the RF stage for mmWave communication system is very important because it can affect the transmitted signals and overall system performance. In this article, mmWave MIMO system under phase noise problem is proposed. In addition, an optimization problem for the design of hybrid precoder under phase noise is formulated. An alternating minimization algorithm using manifold optimization is proposed to close the performance of the fully digital precoder. A realistic power consumption model is considered. To estimate the mmWave channel parameters and to track the phase noise parameters, a Bayesian Cramér-Rao lower bounds (BCRLBs), Kalman filter, least square (LS) and maximum a posterior (MAP) algorithms are proposed. Furthermore, the proposed system with ideal hardware mmWave system is compared with non-ideal system under amplified thermal noise and residual additive transceiver hardware impairments. Spectral efficiencies (SEs) of the proposed system are provided with different scenarios. The analytical and simulation tests show that the influence of phase noise problem may decrease SE performance, especially at higher phase noise. Millimeter wave (mmWave) system is a key technology for the fifth generation (5G). Precoding techniques can be applied in the radio frequency (RF) stage to achieve spatial multiplexing gain. Studying the problems of hardware imperfections in the RF stage for mmWave communication system is very important because it can affect the transmitted signals and overall system performance. In this article, mmWave MIMO system under phase noise problem is proposed. In addition, an optimization problem for the design of hybrid precoder under phase noise is formulated. An alternating minimization algorithm using manifold optimization is proposed to close the performance of the fully digital precoder. A realistic power consumption model is considered. To estimate the mmWave channel parameters and to track the phase noise parameters, a Bayesian Cramér-Rao lower bounds (BCRLBs), Kalman filter, least square (LS) and maximum a posterior (MAP) algorithms are proposed. Furthermore, the proposed system with ideal hardware mmWave system is compared with non-ideal system under amplified thermal noise and residual additive transceiver hardware impairments. Spectral efficiencies (SEs) of the proposed system are provided with different scenarios. The analytical and simulation tests show that the influence of phase noise problem may decrease SE performance, especially at higher phase noise. |
| Author | El-Sayed, Hala S. El-Mashed, Mohamed G. Faragallah, Osama S. |
| Author_xml | – sequence: 1 givenname: Osama S. orcidid: 0000-0003-1982-335X surname: Faragallah fullname: Faragallah, Osama S. email: o.salah@tu.edu.sa, o.salah@tu.edu.sa organization: Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia – sequence: 2 givenname: Hala S. orcidid: 0000-0002-2776-783X surname: El-Sayed fullname: El-Sayed, Hala S. organization: Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El-Kom, Egypt – sequence: 3 givenname: Mohamed G. orcidid: 0000-0002-6733-764X surname: El-Mashed fullname: El-Mashed, Mohamed G. organization: Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt |
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| SubjectTerms | Algorithms Antenna arrays BCRLBs MAP Channel estimation Communications systems Design optimization Hardware hardware imperfections Kalman filters Lower bounds LS and SE Millimeter waves MIMO (control systems) MmWave Noise Noise control OFDM Orthogonal Frequency Division Multiplexing Parameter estimation Phase noise Power consumption Precoding Radio frequency Thermal noise Transceivers |
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| Title | Estimation and Tracking for Millimeter Wave MIMO Systems Under Phase Noise Problem |
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