Understanding the Limits of LoRa Direct-to-Satellite: The Doppler Perspectives

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
4
Authors
Asad Ullah, Muhammad; Pasolini, Gianni; Mikhaylov, Konstantin; Alves, Hirley

Publication channel information

Title of journal/series
IEEE open journal of the Communications Society
ISSN (electronic)
2644-125X
ISSN (linking)
2644-125X
Publisher
IEEE
Publication forum ID
88891
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2024
Bibliographical publication year
2024
Reporting year
2024
Journal/series volume number
5
Page numbers
51-63
DOI
10.1109/ojcoms.2023.3337004
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics
Keywords
Doppler effect; direct-to-satellite; LoRa; LoRaWAN; LPWAN; IoT; LEO; LDRO; orbit; satellite

Funding information

Funding information in the publication
This work was supported in part by the Research Council of Finland (former Academy of Finland) 6G Flagship Programme under Grant 346208; in part by COST Action CA20120 INTERACT; and in part by Walter Ahlström Foundation. The work of Muhammad Asad Ullah was supported in part by Drolo, a project funded by Business Finland and the participating companies. The work of Konstantin Mikhaylov was supported by the Research Council of Finland (former Academy of Finland) MRAT-SafeDrone Project under Grant 341111.
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-
Funder
Business Finland
Name of funding
-
Funding decision
-

Source database ID

WoS ID
WOS:001129119200002
Scopus ID
2-s2.0-85181057006
Other database ID
IEEE: 10335927