Multiple Channel LoRa-to-LEO Scheduling for Direct-to-Satellite IoT-Reference-Cited by-同舟云学术

Multiple Channel LoRa-to-LEO Scheduling for Direct-to-Satellite IoT

Published:2024 Issue: Volume:12 Page:30627-30637
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tondo Felipe Augusto¹^ORCID,Afhamisis Mohammad²^ORCID,Montejo-Sánchez Samuel³^ORCID,López Onel Luis Alcaraz⁴^ORCID,Palattella Maria Rita²^ORCID,Souza Richard Demo¹^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil

2. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

3. Instituto Universitario de Investigación y Desarrollo Tecnológico, Universidad Tecnológica Metropolitana, Santiago, Chile

4. Centre for Wireless Communications, University of Oulu, Oulu, Finland

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil

RNP/MCTIC 6G Mobile Communications Systems

Chile by Agencia Nacional de Investigación y Desarrollo (ANID) Fondo Nacional de Desarrollo Científico y Tecnológico

Finland by the Academy of Finland

Tekniikan Edistämissäätiö

Luxembourg by the LORSAT Project through the National Research Fund Luxembourg

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10443470.pdf?arnumber=10443470

Reference43 articles.

1. A Comprehensive Review on Artificial Intelligence/Machine Learning Algorithms for Empowering the Future IoT Toward 6G Era

2. Emerging MIMO Technologies for 6G Networks

3. Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living