Spectrum and Power Allocation in Cognitive Radio Systems.

Bibliographic Details
Main Author:	Kannadhasan Suriyan
Corporate Author:	IGI Global Online
Format:	eBook
Language:	English
Published:	IGI Global 2024.
Subjects:	Cognitive radio networks. Radio resource management (Wireless communications) Network performance (Telecommunication) Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1. Advancements in cognitive radio networks: protocols, architectures, challenges, and future perspectives
Chapter 2. An emergent self-attention LSTM module-based malicious user detection in cognitive radio networks
Chapter 3. Artificial intelligence techniques in cognitive radio networks applications
Chapter 4. Automated star rating generation for analyzing the performance of public department
Chapter 5. Commercial fire protection automated detection and suppression
Chapter 6. Dynamic spectrum allocation in cognitive radio networks: a fair game with asymmetric information
Chapter 7. Hybrid railway safety optimization with neural networks and random forests
Chapter 8. Investigation and prediction of itemsets frequency using machine learning techniques
Chapter 9. Machine learning-based network attack prediction
Chapter 10. NFV and secure cognitive SDN for educational backbone network deployment: cognitive-enabled routing in SDN
Chapter 11. Online fraud detection using machine learning algorithms and quantum annealing solvers
Chapter 12. Predictive analysis of modulation classification and adaptive modulator for next generation networks
Chapter 13. Qos-aware smart resource allocation for green cognitive radio networks
Chapter 14. Revolutionizing waste management through the integration of IoT and deep learning technology
Chapter 15. Spectrum sensing and sharing for internet of things.