Spectrum Sensing Based on Spectrogram-Aware CNN for Cognitive Radio Network
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China
2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
Funder
Natural Science Foundation of Shanghai
Collaborative Innovation Foundation of SIT
National Key Research and Development Program of China
National Science Foundation
Higher Education Discipline Innovation Project
STCSM
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/9913255/09844158.pdf?arnumber=9844158
Reference17 articles.
1. Deep CM-CNN for Spectrum Sensing in Cognitive Radio
2. Spectrum Sensing in Interference and Noise Using Deep Learning
3. A Cognitive Radio Spectrum Sensing Method for an OFDM Signal Based on Deep Learning and Cycle Spectrum
4. Long Short-Term Memory Based Spectrum Sensing Scheme for Cognitive Radio Using Primary Activity Statistics
5. Generative Adversarial Learning for Spectrum Sensing
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Spectrum Sensing Method Based on STFT-RADN in Cognitive Radio Networks;Sensors;2024-09-06
2. Secure Batch-Based Resource Allocation for Green Cognitive MIMO Indoor Flying Networks;IEEE Transactions on Green Communications and Networking;2024-09
3. Spectrum sensing using deep learning for proficient data transmission in wireless sensor networks for wireless communication;Ain Shams Engineering Journal;2024-07
4. Spectrum Sensing Based on Stochastic Resonance and SOM Neural Network;2024 16th International Conference on Advanced Computational Intelligence (ICACI);2024-05-16
5. Blind Detection of Non-cooperative Communication Signals Based on Feature Dimensionality Reduction;2024 13th International Conference on Communications, Circuits and Systems (ICCCAS);2024-05-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3