Spectrum Occupancy Reconstruction in Distributed Cognitive Radio Networks Using Deep Learning

Spectrum Occupancy Reconstruction in Distributed Cognitive Radio Networks Using Deep Learning

Spectrum occupancy reconstruction is an important issue often encountered in collaborative spectrum sensing in distributed cognitive radio networks (CRNs). This issue arises when the spectrum sensing data that are collaborated by secondary users have gaps of missing entries. Many data imputation tec...

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Bibliographic Details
Main Authors: Mduduzi C. Hlophe, Sunil B. T. Maharaj
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cognitive radio networks
ising model
matrix factorization
metropolis-Hastings algorithm
missing values
stochastic gradient descent
Online Access:https://ieeexplore.ieee.org/document/8624503/

Internet

https://ieeexplore.ieee.org/document/8624503/

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