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Optimal beamforming for hybrid satellite terrestrial networks with nonlinear PA and imperfect CSIT
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Liu, Chengxiao, Feng, Wei, Chen, Yunfei, Wang, Cheng-Xiang and Ge, Ning (2020) Optimal beamforming for hybrid satellite terrestrial networks with nonlinear PA and imperfect CSIT. IEEE Wireless Communications Letters, 9 (3). pp. 276-280. doi:10.1109/LWC.2019.2952124
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Official URL: https://doi.org/10.1109/LWC.2019.2952124
Abstract
In hybrid satellite-terrestrial networks (HSTNs), spectrum sharing is crucial to alleviate the “spectrum scarcity” problem. Therein, the transmit beams should be carefully designed to mitigate the inter-satellite-terrestrial interference. Different from previous studies, this letter considers the impact of both nonlinear power amplifier (PA) and large-scale channel state information at the transmitter (CSIT) on beamforming. These phenomena are usually inevitable in a practical HSTN. Based on the Saleh model of PA nonlinearity and the large-scale multi-beam satellite channel parameters, we formulate a beamforming optimization problem to maximize the achievable rate of the satellite system while ensuring that the inter-satellite-terrestrial interference is below a given threshold. The optimal amplitude and phase of desired beams are derived in a decoupled manner. Simulation results demonstrate the superiority of the proposed beamforming scheme.
Item Type: | Journal Article | ||||||||||||||||||||||||
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Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science > Computer Science | ||||||||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Artificial satellites in telecommunication, Radio frequency allocation, Power amplifiers, Beamforming | ||||||||||||||||||||||||
Journal or Publication Title: | IEEE Wireless Communications Letters | ||||||||||||||||||||||||
Publisher: | IEEE | ||||||||||||||||||||||||
ISSN: | 2162-2337 | ||||||||||||||||||||||||
Official Date: | March 2020 | ||||||||||||||||||||||||
Dates: |
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Volume: | 9 | ||||||||||||||||||||||||
Number: | 3 | ||||||||||||||||||||||||
Page Range: | pp. 276-280 | ||||||||||||||||||||||||
DOI: | 10.1109/LWC.2019.2952124 | ||||||||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||||||||
Publisher Statement: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||||||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||||||||||||||
RIOXX Funder/Project Grant: |
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