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Some power allocation algorithms for cognitive uplink satellite systems

Cognitive satellite communication (SatCom) is rapidly emerging as a promising technology to overcome the scarcity of the exclusive licensed band model in order to fulfill the increasing demand for high data rate services. The paper addresses power allocation methods for multi-operator multi-beam upl...

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Autores principales: Louchart, Arthur, Tohidi, Ehsan, Ciblat, Philippe, Gesbert, David, Lagunas, Eva, Poulliat, Charly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078052/
https://www.ncbi.nlm.nih.gov/pubmed/37041880
http://dx.doi.org/10.1186/s13638-023-02234-7
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author Louchart, Arthur
Tohidi, Ehsan
Ciblat, Philippe
Gesbert, David
Lagunas, Eva
Poulliat, Charly
author_facet Louchart, Arthur
Tohidi, Ehsan
Ciblat, Philippe
Gesbert, David
Lagunas, Eva
Poulliat, Charly
author_sort Louchart, Arthur
collection PubMed
description Cognitive satellite communication (SatCom) is rapidly emerging as a promising technology to overcome the scarcity of the exclusive licensed band model in order to fulfill the increasing demand for high data rate services. The paper addresses power allocation methods for multi-operator multi-beam uplink satellite communication systems co-existing with a Ka-band terrestrial network, using cognitive radio paradigm. Such a scenario is especially challenging because of (i) the coexisting multiple SatCom operators over the cognitive band need to coordinate the use of their resources under limited inter-operator information exchange, and (ii) nonlinear onboard high power amplifier (HPA) which leads to nonlinear interference between users and beams. In order to tackle the first challenge, we propose distributed power allocation algorithms including the standard Alternate Direction Multiplier Method (ADMM); Regarding the HPA nonlinear impairment, we propose nonlinear-aware power allocation based on Signomial Programming. The proposed solutions outperform state-of-the-art in both cases.
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spelling pubmed-100780522023-04-07 Some power allocation algorithms for cognitive uplink satellite systems Louchart, Arthur Tohidi, Ehsan Ciblat, Philippe Gesbert, David Lagunas, Eva Poulliat, Charly EURASIP J Wirel Commun Netw Research Cognitive satellite communication (SatCom) is rapidly emerging as a promising technology to overcome the scarcity of the exclusive licensed band model in order to fulfill the increasing demand for high data rate services. The paper addresses power allocation methods for multi-operator multi-beam uplink satellite communication systems co-existing with a Ka-band terrestrial network, using cognitive radio paradigm. Such a scenario is especially challenging because of (i) the coexisting multiple SatCom operators over the cognitive band need to coordinate the use of their resources under limited inter-operator information exchange, and (ii) nonlinear onboard high power amplifier (HPA) which leads to nonlinear interference between users and beams. In order to tackle the first challenge, we propose distributed power allocation algorithms including the standard Alternate Direction Multiplier Method (ADMM); Regarding the HPA nonlinear impairment, we propose nonlinear-aware power allocation based on Signomial Programming. The proposed solutions outperform state-of-the-art in both cases. Springer International Publishing 2023-04-06 2023 /pmc/articles/PMC10078052/ /pubmed/37041880 http://dx.doi.org/10.1186/s13638-023-02234-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Louchart, Arthur
Tohidi, Ehsan
Ciblat, Philippe
Gesbert, David
Lagunas, Eva
Poulliat, Charly
Some power allocation algorithms for cognitive uplink satellite systems
title Some power allocation algorithms for cognitive uplink satellite systems
title_full Some power allocation algorithms for cognitive uplink satellite systems
title_fullStr Some power allocation algorithms for cognitive uplink satellite systems
title_full_unstemmed Some power allocation algorithms for cognitive uplink satellite systems
title_short Some power allocation algorithms for cognitive uplink satellite systems
title_sort some power allocation algorithms for cognitive uplink satellite systems
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078052/
https://www.ncbi.nlm.nih.gov/pubmed/37041880
http://dx.doi.org/10.1186/s13638-023-02234-7
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