A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization

Physical layer multicasting exploits multiple antennas at the transmitter side to deliver a common message to a group of <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> users. To this end, two formulations have been well addressed in the...

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Autores principales:	Francisco J. Martin-Vega, Farshad Rostami Ghadi, F. Javier Lopez-Martinez, Gerardo Gomez
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	5G networks multicast precoding user grouping clustering Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/860be63efbec45118781a2f14b2a9292
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id	oai:doaj.org-article:860be63efbec45118781a2f14b2a9292
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spelling	oai:doaj.org-article:860be63efbec45118781a2f14b2a92922021-11-18T00:05:03ZA Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization2169-353610.1109/ACCESS.2021.3124871https://doaj.org/article/860be63efbec45118781a2f14b2a92922021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9598831/https://doaj.org/toc/2169-3536Physical layer multicasting exploits multiple antennas at the transmitter side to deliver a common message to a group of <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> users. To this end, two formulations have been well addressed in the literature: i) the max-min-fair criterion, which maximizes the signal-to-noise ratio (SNR) of the worst user for a fixed transmit power; and ii) the quality of service (QoS) formulation, which minimizes the transmit power subject to a target SNR. Nevertheless, it is known that the performance and complexity of these approaches is severely degraded as the group size grows. In this paper, we propose a different formulation that aims at minimizing the required bandwidth needed to provide the multicast service. This is achieved by dividing the users into smaller groups and assigning the bandwidth required to provide a target rate to each group. Contrary to the common belief, it is shown that dividing the users into different groups that use orthogonal bandwidth allocations can lead to a smaller aggregated bandwidth than the single-group with single bandwidth allocation counterpart, if an intelligent grouping scheme is used. An iterative algorithm to derive the optimal number of groups is presented with an stopping criterion to reduce the numerical complexity. It is shown through simulation that our proposed approach greatly reduces the required bandwidth compared to existing schemes that rely on single bandwidth allocation. Interestingly, results reveal that our proposed scheme also leads to a greater SNR for a randomly chosen user, and it reduces the variance of the required bandwidth, which eases the implementation in real networks.Francisco J. Martin-VegaFarshad Rostami GhadiF. Javier Lopez-MartinezGerardo GomezIEEEarticle5G networksmulticast precodinguser groupingclusteringElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149137-149152 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	5G networks multicast precoding user grouping clustering Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	5G networks multicast precoding user grouping clustering Electrical engineering. Electronics. Nuclear engineering TK1-9971 Francisco J. Martin-Vega Farshad Rostami Ghadi F. Javier Lopez-Martinez Gerardo Gomez A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization
description	Physical layer multicasting exploits multiple antennas at the transmitter side to deliver a common message to a group of <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> users. To this end, two formulations have been well addressed in the literature: i) the max-min-fair criterion, which maximizes the signal-to-noise ratio (SNR) of the worst user for a fixed transmit power; and ii) the quality of service (QoS) formulation, which minimizes the transmit power subject to a target SNR. Nevertheless, it is known that the performance and complexity of these approaches is severely degraded as the group size grows. In this paper, we propose a different formulation that aims at minimizing the required bandwidth needed to provide the multicast service. This is achieved by dividing the users into smaller groups and assigning the bandwidth required to provide a target rate to each group. Contrary to the common belief, it is shown that dividing the users into different groups that use orthogonal bandwidth allocations can lead to a smaller aggregated bandwidth than the single-group with single bandwidth allocation counterpart, if an intelligent grouping scheme is used. An iterative algorithm to derive the optimal number of groups is presented with an stopping criterion to reduce the numerical complexity. It is shown through simulation that our proposed approach greatly reduces the required bandwidth compared to existing schemes that rely on single bandwidth allocation. Interestingly, results reveal that our proposed scheme also leads to a greater SNR for a randomly chosen user, and it reduces the variance of the required bandwidth, which eases the implementation in real networks.
format	article
author	Francisco J. Martin-Vega Farshad Rostami Ghadi F. Javier Lopez-Martinez Gerardo Gomez
author_facet	Francisco J. Martin-Vega Farshad Rostami Ghadi F. Javier Lopez-Martinez Gerardo Gomez
author_sort	Francisco J. Martin-Vega
title	A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization
title_short	A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization
title_full	A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization
title_fullStr	A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization
title_full_unstemmed	A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization
title_sort	physical layer multicast precoding and grouping scheme for bandwidth minimization
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/860be63efbec45118781a2f14b2a9292
work_keys_str_mv	AT franciscojmartinvega aphysicallayermulticastprecodingandgroupingschemeforbandwidthminimization AT farshadrostamighadi aphysicallayermulticastprecodingandgroupingschemeforbandwidthminimization AT fjavierlopezmartinez aphysicallayermulticastprecodingandgroupingschemeforbandwidthminimization AT gerardogomez aphysicallayermulticastprecodingandgroupingschemeforbandwidthminimization AT franciscojmartinvega physicallayermulticastprecodingandgroupingschemeforbandwidthminimization AT farshadrostamighadi physicallayermulticastprecodingandgroupingschemeforbandwidthminimization AT fjavierlopezmartinez physicallayermulticastprecodingandgroupingschemeforbandwidthminimization AT gerardogomez physicallayermulticastprecodingandgroupingschemeforbandwidthminimization
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A Physical Layer Multicast Precoding and Grouping Scheme for Bandwidth Minimization

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