Compressive sensing-based channel estimation schemes for wideband millimeter wave wireless communication systems
•Millimeter (mm) Wave Massive MIMO communication systems with both hybrid precoder-combiner structure and low-bit resolution analog-to-digital converters (ADCs).•Projection-based Orthogonal Matching Pursuit (POMP)-based channel estimator.•Predictive Orthogonal Least Squares (POLS)-based channel esti...
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| Published in: | Computers & electrical engineering Vol. 104; p. 108452 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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01.12.2022
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| ISSN: | 0045-7906, 1879-0755 |
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| Abstract | •Millimeter (mm) Wave Massive MIMO communication systems with both hybrid precoder-combiner structure and low-bit resolution analog-to-digital converters (ADCs).•Projection-based Orthogonal Matching Pursuit (POMP)-based channel estimator.•Predictive Orthogonal Least Squares (POLS)-based channel estimator.•Determination of the approximate number of bits that result in optimum performances of the channel estimators in mm-Wave Massive MIMO communication systems.
The introduction of both hybrid precoder-combiner structure and low-bit resolution analog-to-digital converters (ADCs) makes channel estimation in millimeter (mm) Wave Massive MIMO systems to be challenging. In the literature, several channel estimation schemes presented focus on narrowband channels. However, few works are found to be presented for the case of wideband channels for this system. In this paper, two new channel estimation techniques are proposed with the first scheme based on the Projection-based Orthogonal Matching Pursuit (POMP) algorithm. The second estimation scheme is based on the Predictive Orthogonal Least Squares (POLS) algorithm. In all the simulation results, POLS shows the best performance but with the highest computational complexity cost, with POMB exhibiting the next best performance with a lower computational complexity cost. In terms of compromise between performance and computational complexity cost, the proposed POLS-based channel estimator is the best estimator for the wideband mmWave Massive MIMO systems.
Normalized Mean Squared Error (NMSE) performances of the proposed Projection-based Orthogonal Matching Pursuit (POMP)-based channel Estimator and Predictive Orthogonal Least Squares (POLS)-based channel estimator in comparison with some other channel estimators: number of receiver antenna Mr = 16, number of transmitter antenna, Mt = 128, and the number of quantization bits NQ = 8, [Display omitted] |
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| AbstractList | •Millimeter (mm) Wave Massive MIMO communication systems with both hybrid precoder-combiner structure and low-bit resolution analog-to-digital converters (ADCs).•Projection-based Orthogonal Matching Pursuit (POMP)-based channel estimator.•Predictive Orthogonal Least Squares (POLS)-based channel estimator.•Determination of the approximate number of bits that result in optimum performances of the channel estimators in mm-Wave Massive MIMO communication systems.
The introduction of both hybrid precoder-combiner structure and low-bit resolution analog-to-digital converters (ADCs) makes channel estimation in millimeter (mm) Wave Massive MIMO systems to be challenging. In the literature, several channel estimation schemes presented focus on narrowband channels. However, few works are found to be presented for the case of wideband channels for this system. In this paper, two new channel estimation techniques are proposed with the first scheme based on the Projection-based Orthogonal Matching Pursuit (POMP) algorithm. The second estimation scheme is based on the Predictive Orthogonal Least Squares (POLS) algorithm. In all the simulation results, POLS shows the best performance but with the highest computational complexity cost, with POMB exhibiting the next best performance with a lower computational complexity cost. In terms of compromise between performance and computational complexity cost, the proposed POLS-based channel estimator is the best estimator for the wideband mmWave Massive MIMO systems.
Normalized Mean Squared Error (NMSE) performances of the proposed Projection-based Orthogonal Matching Pursuit (POMP)-based channel Estimator and Predictive Orthogonal Least Squares (POLS)-based channel estimator in comparison with some other channel estimators: number of receiver antenna Mr = 16, number of transmitter antenna, Mt = 128, and the number of quantization bits NQ = 8, [Display omitted] |
| ArticleNumber | 108452 |
| Author | Marciniak, Tomasz Flizikowski, Adam Oyerinde, Olutayo O. |
| Author_xml | – sequence: 1 givenname: Olutayo O. orcidid: 0000-0002-7827-5448 surname: Oyerinde fullname: Oyerinde, Olutayo O. email: Olutayo.Oyerinde@wits.ac.za organization: School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg 2020, South Africa – sequence: 2 givenname: Adam surname: Flizikowski fullname: Flizikowski, Adam organization: Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, Bydgoszcz 85-796, Poland – sequence: 3 givenname: Tomasz surname: Marciniak fullname: Marciniak, Tomasz organization: Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, Bydgoszcz 85-796, Poland |
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| Cites_doi | 10.1109/TSP.2017.2781644 10.1109/JSTSP.2018.2813973 10.1109/TVT.2017.2779828 10.1109/TCOMM.2009.12.080559 10.1109/LCOMM.2016.2555299 10.1109/TSP.2011.2173682 10.1109/JSTSP.2014.2334278 10.1109/TWC.2014.2382098 10.1109/JSTSP.2018.2819130 10.1109/JSAC.2017.2720978 10.1016/j.dsp.2018.11.003 10.1109/JSTSP.2016.2523924 10.1109/TVT.2007.897212 10.1109/TWC.2017.2661749 10.1109/TWC.2018.2804943 10.1109/JSAC.2017.2720856 10.1109/TSP.2019.2931202 10.1109/TSP.2018.2811742 |
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| Keywords | mmWave Orthogonal projection Wideband channel Compressive sensing Hybrid precoder Channel estimation Massive MIMO |
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| Title | Compressive sensing-based channel estimation schemes for wideband millimeter wave wireless communication systems |
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