학술논문

Cooperative Spectrum Sensing System using Residual Convolutional Neural Network
Document Type
Conference
Source
2022 IEEE International Conference on Consumer Electronics (ICCE) Consumer Electronics (ICCE), 2022 IEEE International Conference on. :1-5 Jan, 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Training
Power system measurements
Databases
Density measurement
Sensors
Convolutional neural networks
Resource management
Cognitive Radio
Cooperative Spectrum Sensing
Residual Convolutional Neural Network
Language
ISSN
2158-4001
Abstract
Some bands in the frequency spectrum became overloaded and others underutilized due to considerable increase in demand and user allocation policy. Cognitive radio applies sensing techniques to dynamically allocate secondary users. Cooperative spectrum sensing are currently showing promising results. So, in this work, we propose a cooperative spectrum sensing system based on a residual convolutional neural network architecture. For the proposed method, accuracy was more than 95% for noise power density below -124dBm/Hz, with the cooperation of 10 secondary users.