PAMLR: A Passive-Active Multi-Arm Bandit-Based Solution for LoRa Channel Allocation-Reference-Cited by-同舟云学术

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PAMLR: A Passive-Active Multi-Arm Bandit-Based Solution for LoRa Channel Allocation

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
language:
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Author:

Yun Jihoon¹^ORCID,Li Chengzhang¹^ORCID,Arora Anish¹^ORCID

Affiliation:

1. The Ohio State University, United States of America

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600100.3623725

Reference30 articles.

1. Decentralized Adaptive Spectrum Learning in Wireless IoT Networks Based on Channel Quality Information

2. P. Auer N. Cesa-Bianchi and P. Fischer. 2002. Finite-time Analysis of the Multiarmed Bandit Problem. Machine Learning 47 (05 2002) 235-256. https://doi.org/10.1023/A:1013689704352 10.1023/A:1013689704352

3. P. Auer N. Cesa-Bianchi and P. Fischer. 2002. Finite-time Analysis of the Multiarmed Bandit Problem. Machine Learning 47 (05 2002) 235-256. https://doi.org/10.1023/A:1013689704352

4. Pure exploration in finitely-armed and continuous-armed bandits

5. Performance Evaluation of an Adaptive Channel Allocation Technique for Cognitive Wireless Sensor Networks

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