Learning How to Configure LoRa Networks With No Regret: A Distributed Approach-Reference-Cited by-同舟云学术

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Learning How to Configure LoRa Networks With No Regret: A Distributed Approach

Published:2023-04 Issue:4 Volume:19 Page:5633-5644
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Toro-Betancur Verónica¹^ORCID,Premsankar Gopika²^ORCID,Liu Chen-Feng³^ORCID,Słabicki Mariusz⁴^ORCID,Bennis Mehdi⁵^ORCID,Francesco Mario Di¹^ORCID

Affiliation:

1. Department of Computer Science, Aalto University, Espoo, Finland

2. Department of Computer Science, University of Helsinki in Helsinki, Helsinki, Finland

3. Technology Innovation Institute, Masdar City, Abu Dhabi, United Arab Emirates

4. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences in Gliwice, Gliwice, Poland

5. Centre of Wireless Communications, University of Oulu, Oulu, Finland

Funder

Academy of Finland

Narodowe Centrum Badań i Rozwoju

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10081096/09813414.pdf?arnumber=9813414

Reference33 articles.

1. LoRa-MAB: A Flexible Simulator for Decentralized Learning Resource Allocation in IoT Networks

2. DyLoRa: Towards Energy Efficient Dynamic LoRa Transmission Control

3. A Simple Adaptive Procedure Leading to Correlated Equilibrium

4. Spreading Factor Allocation in LoRa Networks through a Game Theoretic Approach

5. An in-depth look at LoRaWAN class A devices;semtech,2022

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