Improving Medium Access Efficiency With Intelligent Spectrum Learning

Improving Medium Access Efficiency With Intelligent Spectrum Learning

Through machine learning, this paper changes the fundamental assumption of the traditional medium access control (MAC) layer design. It obtains the capability of retrieving the information even the packets collide by training a deep neural network offline with the historical radio frequency (RF) tra...

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Bibliographic Details
Main Authors: Bo Yang, Xuelin Cao, Oluwaseyi Omotere, Xiangfang Li, Zhu Han, Lijun Qian
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Medium access control (MAC)
spectrum sensing
deep learning
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/9095299/

Internet

https://ieeexplore.ieee.org/document/9095299/

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