Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research of Radio Frequency Channel Occupancy Prediction Based on Decision Tree

Authors
Fuyin Zhao, Yuqi Zeng, Xueling Zhang, Kai Zhou
Corresponding Author
Fuyin Zhao
Available Online December 2018.
DOI
10.2991/tlicsc-18.2018.49How to use a DOI?
Keywords
spectrum management, frequency channel occupancy, decision tree, prediction, machine learning.
Abstract

Efficient utilization of finite spectrum resource is one of the purposes of spectrum management. Frequency channel occupancy is often used to evaluate the historical usage status of a frequency. Predicting the frequency channel occupancy is of great value to improve the utilization rate of spectrum resources. In this paper, an approach of extracting features from historical frequency channel occupancy data is proposed, and a method of frequency channel occupancy prediction based on decision tree is designed. Based on the actual spectrum monitoring data, we use big data and machine learning technology to predict the frequency channel occupancy of various radio services. The actual test results show that the prediction method is of high accuracy.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
10.2991/tlicsc-18.2018.49How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fuyin Zhao
AU  - Yuqi Zeng
AU  - Xueling Zhang
AU  - Kai Zhou
PY  - 2018/12
DA  - 2018/12
TI  - Research of Radio Frequency Channel Occupancy Prediction Based on Decision Tree
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 304
EP  - 309
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.49
DO  - 10.2991/tlicsc-18.2018.49
ID  - Zhao2018/12
ER  -