Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31520
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dc.contributor.authorHuang, Y-
dc.contributor.authorYou, L-
dc.contributor.authorWang, K-
dc.contributor.authorGao, X-
dc.date.accessioned2025-07-08T17:13:07Z-
dc.date.available2025-07-08T17:13:07Z-
dc.date.issued2024-11-06-
dc.identifierORCiD: Li You https://orcid.org/0000-0001-8600-1423-
dc.identifierORCiD: Kezhi Wang https://orcid.org/0000-0001-8602-0800-
dc.identifierArticle number: 0178-
dc.identifier.citationHuang, Y. et al. (2024) 'QoS-Aware Precoding for Dual-Polarized Downlink Massive MIMO LEO Satellite Communications', Space Science and Technology United States, 4, 0178, pp. 1 - 10. doi: 10.34133/space.0178.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31520-
dc.descriptionData Availability: All data needed to evaluate the conclusions of the study are presented in the paper.en_US
dc.description.abstractLow Earth Orbit (LEO) satellite communications (SATCOM) are important for wireless networks and offer better global wireless access services than higher altitude SATCOM options. SATCOM performance is affected by the number of antennas, which is usually constrained by the satellite space. In this paper, the application of dual-polarized technology is considered to assist LEO SATCOM. Compared with single-polarized antennas, dual-polarized antennas utilize two different polarization orientations to transmit and receive data. This can improve the quality of service (QoS) performance, as it allows for twice the amount of data to be transmitted over the same time–frequency resources. Specifically, we characterize the dual-polarized channel in massive multiple-input multiple-output (MIMO) LEO SATCOM and investigate the precoding design for enhancing the system performance. In particular, a precoding optimization problem is formulated, which aims to jointly optimize the system throughput and the QoS performance. We divide the problem into two stages and develop novel algorithms for each stage to obtain the precoding vectors. The numerical results demonstrate that the dual-polarized technology can improve the system throughput, and the proposed algorithm leads to a higher percentage of users achieving their QoS requirements compared to conventional approaches.en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China for Outstanding Young Scholars under grant 62322104, the Key Technologies R&D Program of Jiangsu (Prospective and Key Technologies for Industry) under grants BE2022067 and BE2022067-5, the Natural Science Foundation of Jiangsu Province under grant BK20231415, the Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu under grant BK20222001, the Jiangsu Province Basic Research Project under grant BK20192002, and the Fundamental Research Funds for the Central Universities under grants 2242022k60007 and 2242023K5003.en_US
dc.format.extent1 - 10-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.rightsCreative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.titleQoS-Aware Precoding for Dual-Polarized Downlink Massive MIMO LEO Satellite Communicationsen_US
dc.typeArticleen_US
dc.date.dateAccepted2024-05-07-
dc.identifier.doihttps://doi.org/10.34133/space.0178-
dc.relation.isPartOfSpace Science and Technology United States-
pubs.publication-statusPublished-
pubs.volume4-
dc.identifier.eissn2692-7659-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2024-05-07-
dc.rights.holderYan Huang et al.-
Appears in Collections:Dept of Computer Science Research Papers

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