Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits

Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design empl...
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Autor*in:	Raji, Akeem Abimbola [verfasserIn] Orimolade, Joseph Folorunso Amusa, Kamoli Akinwale Adejumobi, Isaiah Adediji

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Analog-to-digital converter Analog precoder and combiner Baseband precoder and combiner Channel estimation Millimeter wave communication

Anmerkung:	© The Author(s) 2024

Übergeordnetes Werk:	Enthalten in: Journal of engineering and applied science - Berlin : Springer Berlin Heidelberg, 1999, 71(2024), 1 vom: 12. Feb.
Übergeordnetes Werk:	volume:71 ; year:2024 ; number:1 ; day:12 ; month:02

Links:	Volltext

DOI / URN:	10.1186/s44147-024-00379-w

Katalog-ID:	SPR054747031

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520			\|a Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS.
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allfields	10.1186/s44147-024-00379-w doi (DE-627)SPR054747031 (SPR)s44147-024-00379-w-e DE-627 ger DE-627 rakwb eng Raji, Akeem Abimbola verfasserin (orcid)0000-0003-4303-4940 aut Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. Analog-to-digital converter (dpeaa)DE-He213 Analog precoder and combiner (dpeaa)DE-He213 Baseband precoder and combiner (dpeaa)DE-He213 Channel estimation (dpeaa)DE-He213 Millimeter wave communication (dpeaa)DE-He213 Orimolade, Joseph Folorunso aut Amusa, Kamoli Akinwale aut Adejumobi, Isaiah Adediji aut Enthalten in Journal of engineering and applied science Berlin : Springer Berlin Heidelberg, 1999 71(2024), 1 vom: 12. Feb. (DE-627)1735158240 (DE-600)3041047-2 2536-9512 nnns volume:71 year:2024 number:1 day:12 month:02 https://dx.doi.org/10.1186/s44147-024-00379-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 71 2024 1 12 02
spelling	10.1186/s44147-024-00379-w doi (DE-627)SPR054747031 (SPR)s44147-024-00379-w-e DE-627 ger DE-627 rakwb eng Raji, Akeem Abimbola verfasserin (orcid)0000-0003-4303-4940 aut Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. Analog-to-digital converter (dpeaa)DE-He213 Analog precoder and combiner (dpeaa)DE-He213 Baseband precoder and combiner (dpeaa)DE-He213 Channel estimation (dpeaa)DE-He213 Millimeter wave communication (dpeaa)DE-He213 Orimolade, Joseph Folorunso aut Amusa, Kamoli Akinwale aut Adejumobi, Isaiah Adediji aut Enthalten in Journal of engineering and applied science Berlin : Springer Berlin Heidelberg, 1999 71(2024), 1 vom: 12. Feb. (DE-627)1735158240 (DE-600)3041047-2 2536-9512 nnns volume:71 year:2024 number:1 day:12 month:02 https://dx.doi.org/10.1186/s44147-024-00379-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 71 2024 1 12 02
allfields_unstemmed	10.1186/s44147-024-00379-w doi (DE-627)SPR054747031 (SPR)s44147-024-00379-w-e DE-627 ger DE-627 rakwb eng Raji, Akeem Abimbola verfasserin (orcid)0000-0003-4303-4940 aut Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. Analog-to-digital converter (dpeaa)DE-He213 Analog precoder and combiner (dpeaa)DE-He213 Baseband precoder and combiner (dpeaa)DE-He213 Channel estimation (dpeaa)DE-He213 Millimeter wave communication (dpeaa)DE-He213 Orimolade, Joseph Folorunso aut Amusa, Kamoli Akinwale aut Adejumobi, Isaiah Adediji aut Enthalten in Journal of engineering and applied science Berlin : Springer Berlin Heidelberg, 1999 71(2024), 1 vom: 12. Feb. (DE-627)1735158240 (DE-600)3041047-2 2536-9512 nnns volume:71 year:2024 number:1 day:12 month:02 https://dx.doi.org/10.1186/s44147-024-00379-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 71 2024 1 12 02
allfieldsGer	10.1186/s44147-024-00379-w doi (DE-627)SPR054747031 (SPR)s44147-024-00379-w-e DE-627 ger DE-627 rakwb eng Raji, Akeem Abimbola verfasserin (orcid)0000-0003-4303-4940 aut Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. Analog-to-digital converter (dpeaa)DE-He213 Analog precoder and combiner (dpeaa)DE-He213 Baseband precoder and combiner (dpeaa)DE-He213 Channel estimation (dpeaa)DE-He213 Millimeter wave communication (dpeaa)DE-He213 Orimolade, Joseph Folorunso aut Amusa, Kamoli Akinwale aut Adejumobi, Isaiah Adediji aut Enthalten in Journal of engineering and applied science Berlin : Springer Berlin Heidelberg, 1999 71(2024), 1 vom: 12. Feb. (DE-627)1735158240 (DE-600)3041047-2 2536-9512 nnns volume:71 year:2024 number:1 day:12 month:02 https://dx.doi.org/10.1186/s44147-024-00379-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 71 2024 1 12 02
allfieldsSound	10.1186/s44147-024-00379-w doi (DE-627)SPR054747031 (SPR)s44147-024-00379-w-e DE-627 ger DE-627 rakwb eng Raji, Akeem Abimbola verfasserin (orcid)0000-0003-4303-4940 aut Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. Analog-to-digital converter (dpeaa)DE-He213 Analog precoder and combiner (dpeaa)DE-He213 Baseband precoder and combiner (dpeaa)DE-He213 Channel estimation (dpeaa)DE-He213 Millimeter wave communication (dpeaa)DE-He213 Orimolade, Joseph Folorunso aut Amusa, Kamoli Akinwale aut Adejumobi, Isaiah Adediji aut Enthalten in Journal of engineering and applied science Berlin : Springer Berlin Heidelberg, 1999 71(2024), 1 vom: 12. Feb. (DE-627)1735158240 (DE-600)3041047-2 2536-9512 nnns volume:71 year:2024 number:1 day:12 month:02 https://dx.doi.org/10.1186/s44147-024-00379-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 71 2024 1 12 02
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author	Raji, Akeem Abimbola
spellingShingle	Raji, Akeem Abimbola misc Analog-to-digital converter misc Analog precoder and combiner misc Baseband precoder and combiner misc Channel estimation misc Millimeter wave communication Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits
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topic_title	Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits Analog-to-digital converter (dpeaa)DE-He213 Analog precoder and combiner (dpeaa)DE-He213 Baseband precoder and combiner (dpeaa)DE-He213 Channel estimation (dpeaa)DE-He213 Millimeter wave communication (dpeaa)DE-He213
topic	misc Analog-to-digital converter misc Analog precoder and combiner misc Baseband precoder and combiner misc Channel estimation misc Millimeter wave communication
topic_unstemmed	misc Analog-to-digital converter misc Analog precoder and combiner misc Baseband precoder and combiner misc Channel estimation misc Millimeter wave communication
topic_browse	misc Analog-to-digital converter misc Analog precoder and combiner misc Baseband precoder and combiner misc Channel estimation misc Millimeter wave communication
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title	Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits
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title_full	Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits
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author_browse	Raji, Akeem Abimbola Orimolade, Joseph Folorunso Amusa, Kamoli Akinwale Adejumobi, Isaiah Adediji
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title_sort	channel estimation and mimo combining architecture in millimeter wave cellular system with few adc bits
title_auth	Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits
abstract	Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. © The Author(s) 2024
abstractGer	Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. © The Author(s) 2024
abstract_unstemmed	Abstract Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular system. Prior works in the area of millimeter wave cellular system design employ receiver with infinite bit and large amount of RF chain that scales linearly with the quantity of transmitting and receiving antennas. This mode of design no doubt increases power demand or requirement of a typical millimeter wave system. In this work, hybrid architecture with few RF chains and small number of ADC bits are proposed and are used as candidate for millimeter wave channel estimation and cellular communication. In that connection, least square (LS), orthogonal matching pursuit (OMP), compressed sampling matching pursuit (CoSAMP), and deep learning (DL) techniques are utilized for analytical investigation. Indeed, computational results reveal that, when ADC consisting of uniform mid- rise quantizer is employed, the performance of 4 and 6 bits at signal-to-noise ratio (SNR) values of − 10 dB and 20 dB is at par with infinite bit (unquantized case). As a validation, DL compares favorably well with adaptive compressed sensing (ACS) technique previously used in the literature for channel estimation, while OMP and CoSAMP show better performance than ACS. © The Author(s) 2024
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title_short	Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits
url	https://dx.doi.org/10.1186/s44147-024-00379-w
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author2	Orimolade, Joseph Folorunso Amusa, Kamoli Akinwale Adejumobi, Isaiah Adediji
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up_date	2024-07-04T02:52:18.965Z
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Channel estimation and MIMO combining architecture in millimeter wave cellular system with few ADC bits

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