Learning to Schedule in Non-Stationary Wireless Networks With Unknown Statistics-Reference-Cited by-同舟云学术

Learning to Schedule in Non-Stationary Wireless Networks With Unknown Statistics

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
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Author:

Nguyen Quang Minh¹^ORCID,Modiano Eytan¹^ORCID

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

Funder

Office of Naval Research

Publisher

ACM

Reference33 articles.

1. Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks

2. Scheduling over non-stationary wireless channels with finite rate sets

3. Adaptive Management of Volatile Edge Systems at Runtime With Satisfiability

4. Omar Besbes , Yonatan Gur , and Assaf Zeevi . 2014 . Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards. In Advances in Neural Information Processing Systems, Z. Ghahramani, M. Welling, C. Cortes, N. Lawrence, and K.Q . Weinberger (Eds.) , Vol. 27 . Curran Associates, Inc. https://proceedings.neurips.cc/paper/ 2014/file/903ce9225fca3e988c2af215d4e544d3-Paper.pdf Omar Besbes, Yonatan Gur, and Assaf Zeevi. 2014. Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards. In Advances in Neural Information Processing Systems, Z. Ghahramani, M. Welling, C. Cortes, N. Lawrence, and K.Q. Weinberger (Eds.), Vol. 27. Curran Associates, Inc. https://proceedings.neurips.cc/paper/2014/file/903ce9225fca3e988c2af215d4e544d3-Paper.pdf

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1. Learning to Schedule in Non-Stationary Wireless Networks With Unknown Statistics;Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing;2023-10-16