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6G-Powered Efficient Resource Control through IRS-UE Association

The widespread popularity of live streaming, cloud gaming, mobile video streaming, and many real-time applications relies on high-speed data to ensure low latency and seamless user experience. This large high-speed data demand has led to the development of next-generation or sixth-generation (6G) co...

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Autores principales: Alqahtani, Ali, Taneja, Ashu, Alqahtani, Jarallah, Alqahtani, Nayef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650506/
https://www.ncbi.nlm.nih.gov/pubmed/37960413
http://dx.doi.org/10.3390/s23218713
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author Alqahtani, Ali
Taneja, Ashu
Alqahtani, Jarallah
Alqahtani, Nayef
author_facet Alqahtani, Ali
Taneja, Ashu
Alqahtani, Jarallah
Alqahtani, Nayef
author_sort Alqahtani, Ali
collection PubMed
description The widespread popularity of live streaming, cloud gaming, mobile video streaming, and many real-time applications relies on high-speed data to ensure low latency and seamless user experience. This large high-speed data demand has led to the development of next-generation or sixth-generation (6G) communication technology. It aims to offer high-speed communication support to multiple applications and interactive services simultaneously. But the vulnerability of node communication to the changing propagation environment often leads to call drops, data loss, and high latency. This paper presents a 6G-enabled wireless network that makes use of multiple intelligent reflecting surfaces (IRSs). The distributed IRSs enhance the robustness of transmission but the increased overhead owing to multiple IRSs is the main challenge. To overcome this, efficient resource control is introduced, which associates sets of IRSs to user equipment (UE). An algorithm, namely IUABP (IRS-UE association based on pilots), is proposed; it offers selective resource control. Furthermore, the performance of the distributed IRS system is evaluated based on the achievable sum rate for different IRS numbers, reflecting elements, and transmit powers. We observed that the proposed association scheme offers an improvement of 30% in the achieved sum rate using N = 50 and R = 5 at a transmit power of 12 dBm. We also discuss the comparison with two other association schemes, namely, distance-based association and random association.
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spelling pubmed-106505062023-10-25 6G-Powered Efficient Resource Control through IRS-UE Association Alqahtani, Ali Taneja, Ashu Alqahtani, Jarallah Alqahtani, Nayef Sensors (Basel) Article The widespread popularity of live streaming, cloud gaming, mobile video streaming, and many real-time applications relies on high-speed data to ensure low latency and seamless user experience. This large high-speed data demand has led to the development of next-generation or sixth-generation (6G) communication technology. It aims to offer high-speed communication support to multiple applications and interactive services simultaneously. But the vulnerability of node communication to the changing propagation environment often leads to call drops, data loss, and high latency. This paper presents a 6G-enabled wireless network that makes use of multiple intelligent reflecting surfaces (IRSs). The distributed IRSs enhance the robustness of transmission but the increased overhead owing to multiple IRSs is the main challenge. To overcome this, efficient resource control is introduced, which associates sets of IRSs to user equipment (UE). An algorithm, namely IUABP (IRS-UE association based on pilots), is proposed; it offers selective resource control. Furthermore, the performance of the distributed IRS system is evaluated based on the achievable sum rate for different IRS numbers, reflecting elements, and transmit powers. We observed that the proposed association scheme offers an improvement of 30% in the achieved sum rate using N = 50 and R = 5 at a transmit power of 12 dBm. We also discuss the comparison with two other association schemes, namely, distance-based association and random association. MDPI 2023-10-25 /pmc/articles/PMC10650506/ /pubmed/37960413 http://dx.doi.org/10.3390/s23218713 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alqahtani, Ali
Taneja, Ashu
Alqahtani, Jarallah
Alqahtani, Nayef
6G-Powered Efficient Resource Control through IRS-UE Association
title 6G-Powered Efficient Resource Control through IRS-UE Association
title_full 6G-Powered Efficient Resource Control through IRS-UE Association
title_fullStr 6G-Powered Efficient Resource Control through IRS-UE Association
title_full_unstemmed 6G-Powered Efficient Resource Control through IRS-UE Association
title_short 6G-Powered Efficient Resource Control through IRS-UE Association
title_sort 6g-powered efficient resource control through irs-ue association
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650506/
https://www.ncbi.nlm.nih.gov/pubmed/37960413
http://dx.doi.org/10.3390/s23218713
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