Thompson Sampling-Based Channel Selection Through Density Estimation Aided by Stochastic Geometry

Thompson Sampling-Based Channel Selection Through Density Estimation Aided by Stochastic Geometry

We propose a sophisticated channel selection scheme based on multi-armed bandits and stochastic geometry analysis. In the proposed scheme, a typical user attempts to estimate the density of active interferers for every channel via the repeated observations of signal-to-interference power ratio (SIR)...

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Bibliographic Details
Main Authors: Wangdong Deng, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Channel selection
multi-armed bandit
Thompson sampling
stochastic geometry
Markov chain Monte Carlo method
Online Access:https://ieeexplore.ieee.org/document/8959224/

Internet

https://ieeexplore.ieee.org/document/8959224/

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