Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations

Recently, the fifth generation of cellular mobile communications (5G) network has been deployed and become pervasive. 5G offers a significant increase in terms of bandwidth and data rate compared to the previous generations. In addition, new technologies such as millimeter-wave (mmWave) technology a...

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Autores principales:	Muhammad Miftahul Amri, Nguyen Minh Tran, Kae Won Choi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	5G networks 1-bit reconfigurable intelligent surface wireless communications adaptive beamforming compressive sensing Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/99e10cffd8524cb981da8d954f0182a8
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id	oai:doaj.org-article:99e10cffd8524cb981da8d954f0182a8
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spelling	oai:doaj.org-article:99e10cffd8524cb981da8d954f0182a82021-11-18T00:10:26ZReconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations2169-353610.1109/ACCESS.2021.3124319https://doaj.org/article/99e10cffd8524cb981da8d954f0182a82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9594786/https://doaj.org/toc/2169-3536Recently, the fifth generation of cellular mobile communications (5G) network has been deployed and become pervasive. 5G offers a significant increase in terms of bandwidth and data rate compared to the previous generations. In addition, new technologies such as millimeter-wave (mmWave) technology and massive MIMO (mMIMO), have been proposed to meet the demand. However, some inevitable challenges still exist. In mmWave frequency, path loss and shadowing become more severe due to the radio electromagnetic (EM) wave characteristics. In this paper, we propose the utilization of reconfigurable intelligent surface (RIS) to aid wireless communications to overcome path loss and shadowing issues, by using a compressive sensing-based adaptive beamforming algorithm. To validate the theory, hypothesis, and simulation results, we have designed, fabricated, and conducted experiments with a 1-bit RIS testbed. The results show that the bit error rate (BER) and signal-to-noise ratio (SNR) of the received signal are significantly improved when the proposed RIS is employed. Further, we have also demonstrated a video streaming application aided by the proposed RIS as one of the potential RIS deployment scenarios.Muhammad Miftahul AmriNguyen Minh TranKae Won ChoiIEEEarticle5G networks1-bit reconfigurable intelligent surfacewireless communicationsadaptive beamformingcompressive sensingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 147442-147457 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	5G networks 1-bit reconfigurable intelligent surface wireless communications adaptive beamforming compressive sensing Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	5G networks 1-bit reconfigurable intelligent surface wireless communications adaptive beamforming compressive sensing Electrical engineering. Electronics. Nuclear engineering TK1-9971 Muhammad Miftahul Amri Nguyen Minh Tran Kae Won Choi Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations
description	Recently, the fifth generation of cellular mobile communications (5G) network has been deployed and become pervasive. 5G offers a significant increase in terms of bandwidth and data rate compared to the previous generations. In addition, new technologies such as millimeter-wave (mmWave) technology and massive MIMO (mMIMO), have been proposed to meet the demand. However, some inevitable challenges still exist. In mmWave frequency, path loss and shadowing become more severe due to the radio electromagnetic (EM) wave characteristics. In this paper, we propose the utilization of reconfigurable intelligent surface (RIS) to aid wireless communications to overcome path loss and shadowing issues, by using a compressive sensing-based adaptive beamforming algorithm. To validate the theory, hypothesis, and simulation results, we have designed, fabricated, and conducted experiments with a 1-bit RIS testbed. The results show that the bit error rate (BER) and signal-to-noise ratio (SNR) of the received signal are significantly improved when the proposed RIS is employed. Further, we have also demonstrated a video streaming application aided by the proposed RIS as one of the potential RIS deployment scenarios.
format	article
author	Muhammad Miftahul Amri Nguyen Minh Tran Kae Won Choi
author_facet	Muhammad Miftahul Amri Nguyen Minh Tran Kae Won Choi
author_sort	Muhammad Miftahul Amri
title	Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations
title_short	Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations
title_full	Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations
title_fullStr	Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations
title_full_unstemmed	Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations
title_sort	reconfigurable intelligent surface-aided wireless communications: adaptive beamforming and experimental validations
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/99e10cffd8524cb981da8d954f0182a8
work_keys_str_mv	AT muhammadmiftahulamri reconfigurableintelligentsurfaceaidedwirelesscommunicationsadaptivebeamformingandexperimentalvalidations AT nguyenminhtran reconfigurableintelligentsurfaceaidedwirelesscommunicationsadaptivebeamformingandexperimentalvalidations AT kaewonchoi reconfigurableintelligentsurfaceaidedwirelesscommunicationsadaptivebeamformingandexperimentalvalidations
_version_	1718425180919824384

Reconfigurable Intelligent Surface-Aided Wireless Communications: Adaptive Beamforming and Experimental Validations

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