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DC Field | Value | Language |
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dc.contributor.author | Jiang, B | - |
dc.contributor.author | Yan, Y | - |
dc.contributor.author | Zhao, J | - |
dc.contributor.author | Xiao, X | - |
dc.contributor.author | You, L | - |
dc.contributor.author | Zhang, D | - |
dc.contributor.author | Lei, J | - |
dc.contributor.author | Wang, K | - |
dc.contributor.author | Wang, W | - |
dc.contributor.author | Gao, X | - |
dc.date.accessioned | 2023-12-03T13:36:15Z | - |
dc.date.available | 2023-12-03T13:36:15Z | - |
dc.date.issued | 2023-08-31 | - |
dc.identifier | ORCID iD: Li You https://orcid.org/0000-0001-8600-1423 | - |
dc.identifier | ORCID iD: Kezhi Wang https://orcid.org/0000-0001-8602-0800 | - |
dc.identifier | ORCID iD: Wenjin Wang https://orcid.org/0000-0002-5600-6589 | - |
dc.identifier | ORCID iD: Xiqi Gao https://orcid.org/0000-0001-9107-6593 | - |
dc.identifier | 0059 | - |
dc.identifier.citation | Jiang, B. et al. (2023) 'Total and Minimum Energy Efficiency Tradeoff in Robust Multigroup Multicast Satellite Communications', Space: Science and Technology (United States), 2023, 3, 0059, pp. 1 - 13. doi: 10.34133/space.0059. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27794 | - |
dc.description | Data Availability: All data needed to evaluate the conclusions of the study are presented in the paper. | en_US |
dc.description.abstract | Copyright © 2023 Bin Jiang et al. Satellite communication is an indispensable part of future wireless communications given its global coverage and long-distance propagation. In satellite communication systems, channel acquisition and energy consumption are two critical issues. To this end, we investigate the tradeoff between the total energy efficiency (TEE) and minimum EE (MEE) for robust multigroup multicast satellite communication systems in this paper. Specifically, under the total power constraint, we investigate the robust beamforming aimed at balancing the TEE-MEE, so as to achieve the balance between the fairness and total performance on the system EE. For this optimization problem, we first model the balancing problem as a nonconvex problem while deriving its approximate closed-form average user rate. Then, the nonconvex problem is handled by solving convex programs sequentially with the help of the semidefinite relaxation and the concave-convex procedure. In addition, depending on the solution rank value, Gaussian randomization and eigenvalue decomposition method are applied to generate the feasible solutions. Finally, simulation results illustrate that the proposed approach can effectively achieve the balance between the TEE and MEE, thus realizing a tradeoff between fairness and system EE performance. It is also indicated that the proposed robust approach outperforms the conventional baselines in terms of EE performance. | en_US |
dc.description.sponsorship | This work was supported by the National Natural Science Foundation of China under Grant 62341110, the Key Technologies R&D Program of Jiangsu (Prospective and Key Technologies for Industry) under Grants BE2022067 and BE2022067-5, the Jiangsu Province Basic Research Project under Grant BK20192002, the Fundamental Research Funds for the Central Universities under Grants 2242021R41148 and 2242022k60007, and the Young Elite Scientist Sponsorship Program by China Institute of Communications. The work of J.Z. was supported by the National Natural Science Foundation of China under Grant U2233216. | en_US |
dc.format.extent | 1 - 13 | - |
dc.format.medium | Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | American Association for the Advancement of Science on behalf of Beijing Institute of Technology Press | en_US |
dc.rights | Copyright © 2023 Bin Jiang et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0). | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.title | Total and Minimum Energy Efficiency Tradeoff in Robust Multigroup Multicast Satellite Communications | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.34133/space.0059 | - |
dc.relation.isPartOf | Space: Science and Technology (United States) | - |
pubs.publication-status | Published | - |
pubs.volume | 3 | - |
dc.identifier.eissn | 2692-7659 | - |
dc.rights.holder | Bin Jiang et al. | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2023 Bin Jiang et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0). | 2.57 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License