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Effect of strong time-varying transmission distance on LEO satellite-terrestrial deliveries
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Mao, Y., Lv, T., Li, T., Pan, G., Chen, Yunfei and Alouini, M -S. (2022) Effect of strong time-varying transmission distance on LEO satellite-terrestrial deliveries. IEEE Transactions on Vehicular Technology, 71 (9). pp. 9781-9793. doi:10.1109/TVT.2022.3182507 ISSN 0018-9545.
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Official URL: https://doi.org/10.1109/TVT.2022.3182507
Abstract
In this paper, we investigate the effect of the strong time-varying transmission distance on the performance of the low-earth orbit (LEO) satellite-terrestrial transmission (STT) system. We propose a new analytical framework using finite-state Markov channel (FSMC) model and time discretization method. Moreover, to demonstrate the applications of the proposed framework, the performances of two adaptive transmissions, rate-adaptive transmission (RAT) and power-adaptive transmission (PAT) schemes, are evaluated for the cases when the transmit power or the transmission rate at the LEO satellite is fixed. Closed-form expressions for the throughput, energy efficiency (EE), and delay outage rate (DOR) of the considered systems are derived and verified, which are capable of addressing the capacity, energy efficiency, and outage rate performance of the considered LEO STT scenarios with the proposed analytical framework.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Artificial satellites in telecommunication , Artificial satellites -- Design, Broadband communication systems | ||||||||
Journal or Publication Title: | IEEE Transactions on Vehicular Technology | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 0018-9545 | ||||||||
Official Date: | September 2022 | ||||||||
Dates: |
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Volume: | 71 | ||||||||
Number: | 9 | ||||||||
Page Range: | pp. 9781-9793 | ||||||||
DOI: | 10.1109/TVT.2022.3182507 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 2022 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 | ||||||||
Date of first compliant deposit: | 13 June 2022 | ||||||||
Date of first compliant Open Access: | 13 June 2022 | ||||||||
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