Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks

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
6
Authors
Farhat, Jamil de Araujo; Michel de Souza Sant'Ana, Jean; Rebelatto, Joao Luiz; Mahmood, Nurul Huda; Pasolini, Gianni; Souza, Richard Demo

Publication channel information

Title of journal/series
IEEE access
ISSN (electronic)
2169-3536
ISSN (linking)
2169-3536
Publisher
IEEE
Publication forum ID
78297
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
Journal/series volume number
13
Page numbers
30010-30020
DOI
10.1109/ACCESS.2025.3541407
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
Payloads; Codes; Resource management; Probabilistic logic; Logic gates; LoRaWAN; Network servers; Uplink; Symbols; Modulation; LR-FHSS; Internet of Things; machine-type communications

Funding information

Funding information in the publication
This work was supported in part by the Coordination for the Improvement of Higher Education Personnel–CAPES (ROR identifier: 00x0ma614) for the Article Processing Charge; in part by Brazil by National Council for Scientific and Technological Development (CNPq), Print CAPES-Federal University of Santa Catarina (UFSC) ‘‘Automation 4.0;’’ in part by the National Network for Education and Research (RNP)/Ministry of Science, Technology, and Innovations (MCTIC) 6G Mobile Communications Systems under Grant 01245.010604/2020-14; in part by the Research Council of Finland (former Academy of Finland) 6G Flagship Programme under Grant 369116; in part by ReWin-6G under Grant 357120; and in part by European Union through the Interreg Aurora project ENSURE-6G under Grant 20361812.

Source database ID

WoS ID
WOS:001425899700035
Scopus ID
2-s2.0-85217888434