Distributed Timeslot Allocation in mMTC Network by Magnitude-Sensitive Bayesian Attractor Model-Reference-Cited by-同舟云学术

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Distributed Timeslot Allocation in mMTC Network by Magnitude-Sensitive Bayesian Attractor Model

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 9th International Conference on Network Softwarization (NetSoft)
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Author:

Otoshi Tatsuya¹,Murata Masayuki²,Shimonishi Hideyuki²,Shimokawa Tetsuya²

Affiliation:

1. Osaka University,Graduate School of Economics,Osaka,Japan

2. Osaka University,Graduate School of Information Science and Technology,Osaka,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10175164/10175395/10175490.pdf?arnumber=10175490

Reference12 articles.

1. A Mechanism for Value-Sensitive Decision-Making

2. Optimal policy for value-based decision-making

3. Modeling 2-alternative forced-choice tasks: Accounting for both magnitude and difference effects

4. Non-parametric Decision-Making by Bayesian Attractor Model for Dynamic Slice Selection

5. Priority Enabled Grant-Free Access With Dynamic Slot Allocation for Heterogeneous mMTC Traffic in 5G NR Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Power Efficient Edge-Cloud Cooperation by Value-Sensitive Bayesian Attractor Model;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

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