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

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 receiv...

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Veröffentlicht in:Journal of engineering and applied science (Online) Jg. 71; H. 1; S. 40 - 20
Hauptverfasser: Raji, Akeem Abimbola, Orimolade, Joseph Folorunso, Amusa, Kamoli Akinwale, Adejumobi, Isaiah Adediji
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024
Springer Nature B.V
SpringerOpen
Schlagworte:
Algorithms
Analog precoder and combiner
Analog to digital converters
Analog-to-digital converter
Antennas
Baseband precoder and combiner
Cellular communication
Channel estimation
Civil Engineering
Communication
Digital to analog converters
Electrical Engineering
Engineering
Engineering Mathematics
Hybrid systems
Industrial Chemistry/Chemical Engineering
Matched pursuit
Matching
Mechanical Engineering
Millimeter wave communication
Millimeter waves
Phase shifters
Radio frequency
Receivers & amplifiers
Signal to noise ratio
Systems design
Transmitters
Analog precoder and combiner
Analog-to-digital converter
Baseband precoder and combiner
Millimeter wave communication
Channel estimation
ISSN:1110-1903, 2536-9512
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1110-1903
2536-9512
DOI:10.1186/s44147-024-00379-w