A hybrid‐supervised learning model for compressive spectrum sensing in fifth generation(5G) cognitive Radio enabled internet of things (IoT) networks-Reference-Cited by-同舟云学术

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A hybrid‐supervised learning model for compressive spectrum sensing in fifth generation(5G) cognitive Radio enabled internet of things (IoT) networks

Published:2021-04-11 Issue:9 Volume:34 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Jothiraj Sivasankari¹^ORCID,Balu Sridevi²,Rangaraj Neelaveni³

Affiliation:

1. Department of Electronics and Communication ULTRA College of Engineering and Technology Madurai Madurai India

2. Department of Electronics and Communication Velammal Institute of Technology Chennai India

3. Department of Electronics and Communication MNM Jain Engineering College Chennai India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.4797

Reference55 articles.

1. Advances in cognitive radio networks: A survey

2. Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

3. A Survey of 5G Network: Architecture and Emerging Technologies

4. Optimal resource allocation using reinforcement learning for IoT content-centric services

5. Big data-driven optimization for mobile networks toward 5G

Cited by 3 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. Retraction;International Journal of Communication Systems;2022-07-06

2. Bio‐Inspired In‐Sensor Compression and Computing Based on Phototransistors;Small;2022-05-09

3. Highly Efficient Spatial–Temporal Correlation Basis for 5G IoT Networks;Sensors;2021-10-18

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