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Performance of OTFS Modulation over Rician Channels in Airborne Communication Networks
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-1730-9026
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-3604-2766
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Saab Ab, Surveillance.
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2022 (English)In: 32nd International Telecommunication Networks and Applications Conference, ITNAC 2022, Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we consider airborne communication networks with directed air data links between high-mobility airborne platforms. Orthogonal time frequency space (OTFS) modulation is used to overcome the effects of the high Doppler shifts induced by the high relative speeds among airborne platforms which can be in excess of 1200 m/s. The performance of the considered system is assessed using the Rician channel to model the directed air data links accounting for the ratio of the signal power in the line-of-sight path to the signal power in the scattered paths. The numerical results reveal significant bit error rate (BER) improvements with increased Rician K-factor, illustrate the trade-offs between BER and bits per symbol offered by different modulation schemes, and show the independence of the BER from the relative speeds among airborne platforms. Further, it is shown that the BER of a single path directed air data link approaches that of a two-ray channel for a sufficiently large Rician K-factor. © 2022 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 1-6
Keywords [en]
Economic and social effects, Space platforms, Airborne communication networks, Airborne platforms, AIRS data, Bit-error rate, Data link, Performance, Relative speed, Rician channels, Signal power, Time-frequency space, Bit error rate
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-24260DOI: 10.1109/ITNAC55475.2022.9998395ISI: 000930821700001Scopus ID: 2-s2.0-85146638680ISBN: 9781665471039 (print)OAI: oai:DiVA.org:bth-24260DiVA, id: diva2:1733623
Conference
32nd International Telecommunication Networks and Applications Conference, ITNAC 2022, Wellington, 30 November through 2 December 2022
Projects
Riktad luftdatalänk
Funder
Vinnova, 2019-02769Available from: 2023-02-02 Created: 2023-02-02 Last updated: 2023-03-09Bibliographically approved

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Chu, Thi My ChinhZepernick, Hans-Juergen

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