Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks

The advent of technologies allowing the implementation of flexible satellite payloads is opening up great opportunities to efficiently cope with non-uniform traffic conditions. The latter is one of the “crux” of modern satellite broadband access service economic provision. In t...

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Autores principales:	Piero Angeletti, Riccardo De Gaudenzi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	MIMO satellite communications time division multiple access radio access networks radio spectrum management multiple access interference Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/856e643780614aecb95acae48434d99a
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id	oai:doaj.org-article:856e643780614aecb95acae48434d99a
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spelling	oai:doaj.org-article:856e643780614aecb95acae48434d99a2021-11-18T00:04:13ZHeuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks2169-353610.1109/ACCESS.2021.3123581https://doaj.org/article/856e643780614aecb95acae48434d99a2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9591599/https://doaj.org/toc/2169-3536The advent of technologies allowing the implementation of flexible satellite payloads is opening up great opportunities to efficiently cope with non-uniform traffic conditions. The latter is one of the “crux” of modern satellite broadband access service economic provision. In this paper we derive affordable (linear) complexity radio resource management (RRM) techniques for satellite multi-beam broadband communication networks that are closely approaching the optimum solution which has an exponential complexity with the number of users. The proposed heuristic RRM solution is applied to the most demanding Massive Multiple Input Multiple Output (M-MIMO) case. It is shown that the low-complexity payload pragmatic M-MIMO solution combined with heuristic RRM is able to efficiently cope with very different traffic conditions with a small penalty in terms of throughput compared to the much more complex ideal Minimum Mean Square Error (MMSE) M-MIMO adopting the same RRM algorithm. Instead, the pragmatic M-MIMO with heuristic RRM is outperforming MMSE M-MIMO exploiting simple RRM.Piero AngelettiRiccardo De GaudenziIEEEarticleMIMOsatellite communicationstime division multiple accessradio access networksradio spectrum managementmultiple access interferenceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 147164-147190 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MIMO satellite communications time division multiple access radio access networks radio spectrum management multiple access interference Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	MIMO satellite communications time division multiple access radio access networks radio spectrum management multiple access interference Electrical engineering. Electronics. Nuclear engineering TK1-9971 Piero Angeletti Riccardo De Gaudenzi Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
description	The advent of technologies allowing the implementation of flexible satellite payloads is opening up great opportunities to efficiently cope with non-uniform traffic conditions. The latter is one of the “crux” of modern satellite broadband access service economic provision. In this paper we derive affordable (linear) complexity radio resource management (RRM) techniques for satellite multi-beam broadband communication networks that are closely approaching the optimum solution which has an exponential complexity with the number of users. The proposed heuristic RRM solution is applied to the most demanding Massive Multiple Input Multiple Output (M-MIMO) case. It is shown that the low-complexity payload pragmatic M-MIMO solution combined with heuristic RRM is able to efficiently cope with very different traffic conditions with a small penalty in terms of throughput compared to the much more complex ideal Minimum Mean Square Error (MMSE) M-MIMO adopting the same RRM algorithm. Instead, the pragmatic M-MIMO with heuristic RRM is outperforming MMSE M-MIMO exploiting simple RRM.
format	article
author	Piero Angeletti Riccardo De Gaudenzi
author_facet	Piero Angeletti Riccardo De Gaudenzi
author_sort	Piero Angeletti
title	Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
title_short	Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
title_full	Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
title_fullStr	Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
title_full_unstemmed	Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks
title_sort	heuristic radio resource management for massive mimo in satellite broadband communication networks
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/856e643780614aecb95acae48434d99a
work_keys_str_mv	AT pieroangeletti heuristicradioresourcemanagementformassivemimoinsatellitebroadbandcommunicationnetworks AT riccardodegaudenzi heuristicradioresourcemanagementformassivemimoinsatellitebroadbandcommunicationnetworks
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Heuristic Radio Resource Management for Massive MIMO in Satellite Broadband Communication Networks

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