Nodes Number Estimation based on ML for Multi-operator Unlicensed Band Sharing to Extend Indoor Connectivity-Reference-Cited by-同舟云学术

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Nodes Number Estimation based on ML for Multi-operator Unlicensed Band Sharing to Extend Indoor Connectivity

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Wireless Communications and Networking Conference (WCNC)
language:
Short-container-title:

Author:

Baiyekusi Oluwatobi¹,Lee Haeyoung²,Moessner Klaus³

Affiliation:

1. University of Strathclyde,Department of Computer & Information Sciences,Glasgow,UK

2. University of Hertfordshire,School of Physics, Engineering and Computer Science,Hatfield,UK

3. University of Surrey,Institute for Communication Systems (ICS),5GIC & 6GIC,Guildford,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118584/10118587/10118807.pdf?arnumber=10118807

Reference14 articles.

1. 3rd Generation Partnership Project (3GPP);LTE Evolved Universal Terrestrial Radio Access (E-UTRA) Physical layer procedures (Rel 14) " Tech Rep,2019

2. Guidelines for evaluation of radio interface technologies for IMT-Advanced;Tech Rep,2009

3. Uniform difference distribution;mathworld,2023

4. Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions

5. Adaptive Access Mechanism with Optimal Contention Window Based on Node Number Estimation Using Multiple Thresholds

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