Modeling and Predictability Analysis on Channel Spectrum Status Over Heavy Wireless LAN Traffic Environment

Modeling and Predictability Analysis on Channel Spectrum Status Over Heavy Wireless LAN Traffic Environment

Using the real wireless spectrum occupancy status in 2.4 and 5 GHz bands collected at a railway station as representative of a heavy wireless LAN (WLAN) traffic environment, this paper studies the modeling of durations of busy/idle (B/I) status and its predictability based on predictability theory....

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Bibliographic Details
Main Authors: Yafei Hou, Julian Webber, Kazuto Yano, Shun Kawasaki, Satoshi Denno, Yoshinori Suzuki
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Spectrum usage model
heavy WLAN traffic environment
cognitive radio
predictability theory
auto-regressive predictor
data categorization
Online Access:https://ieeexplore.ieee.org/document/9452090/

Internet

https://ieeexplore.ieee.org/document/9452090/

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