Cognitive Radio Networks: Design Issues of Physical MAC and Network Layers: Prospects in Networking and Communications – P-NetCom
Editat de Vivek Rajpoot, Raghavendra Pal, Indrasen Singh, Ramesh Kumar Vermaen Limba Engleză Hardback – 24 mar 2027
- Covers the CSMA/CA-based CR-MAC design protocol, TDMA-based CR-MAC protocol, and the hybrid MAC protocol.
- Discusses the concepts related to spectrum sensing, spectrum decision, handoff, and their use cases in cognitive radio networks.
- Explains the IEEE 802.22 WRAN standardization with details and use of TVWS bands in cognitive radio networks.
- Explore the Internet of Things (IoT) and cognitive radio integration and cognitive radio-enabled dynamic network slicing.
- Showcases the use of technologies such as artificial intelligence and machine learning for cognitive radio networks.
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Specificații
ISBN-13: 9781041123897
ISBN-10: 1041123892
Pagini: 336
Ilustrații: 256
Dimensiuni: 178 x 254 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Prospects in Networking and Communications – P-NetCom
ISBN-10: 1041123892
Pagini: 336
Ilustrații: 256
Dimensiuni: 178 x 254 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Prospects in Networking and Communications – P-NetCom
Public țintă
Academic, Postgraduate, and Undergraduate AdvancedCuprins
"Part 1: Introduction. 1.6G Technology and Future Wireless Networks. 2. Cognitive Radio Architecture, Applications, Advantages, and Scope. 3. Current Regulatory Policies and Global Standardization Efforts. 4. Standardization and Future Directions in Cognitive Radio Networks. Part 2: Design of Physical Layer of Cognitive Radio Network. 5.Coding Schemes for Cognitive Radio Channel. 6. Reconfigurable Antenna Design for Cognitive Radio. 7. Use of MIMO Antenna System in Cognitive Radio System. 8. Use of OFDM Scheme in Cognitive Radio System. Part 3: Design of MAC Layer of Cognitive Radio Network. 9. Distributed and Centralized MAC Protocols. 10. Medium Access Control (MAC) Protocols for Cognitive Radio Networks. 11. Challenges in MAC design for Cognitive Radio Networks. Part 4: Design of Network Layer of Cognitive Radio Network. 12. Efficient Route Selection Schemes of Routing Protocols in Cognitive Radio Networks. 13. Routing Protocols in Cognitive Radio Networks. 14. Challenges in Network Layer Design for Cognitive Radio Networks. Part 5: Future Trends and Applications. 15. Artificial Intelligence and Machine Learning for Cognitive Radio Networks. 16. Green Cognitive Radio Networks: Energy-Efficient Strategies. 17. Internet of Things (IoT) and Cognitive Radio Integration. 18. Cognitive Radio-enabled Dynamic Network Slicing. 19. Vehicular Cognitive Radio. 20. Real-Time Case Studies.
Notă biografică
Vivek Rajpoot is working as an Assistant Professor in the Department of Communication Engineering at Vellore Institute of Technology, Vellore, Tamil Nadu, India. He has published research papers in peer-reviewed journals and international conferences. His research interests include cognitive radio, Internet of Things, wireless sensor networks, Ad hoc networks, microstrip patch antenna design, and optimization algorithms.
Raghavendra Pal is working as an Assistant Professor in the Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India. His research interests include 5G V2X communications, Industrial Internet of Things, Machine learning in wireless communications, wireless communications and networking, ad hoc networks, and device-to-device communication. He has published research papers in journals and at conferences of repute.
Indrasen Singh is working as an Assistant Professor in the School of Electronics Engineering at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. He has more than fifteen years of teaching/research experience and has published research papers in journals and conferences of repuation. He is the editorial board member of AJECE, Science Publishing Group, USA. His research interests are in the areas of cooperative communication, stochastic geometry, modeling of wireless networks, heterogeneous networks, millimeter wave communications, device-to-device communication, and 5G/6G communication.
Ramesh Kumar Verma is working as an Assistant Professor in the Department of Computer Science and Engineering at IMS Engineering College Ghaziabad, Uttar Pradesh, India. He is an expert in antenna designing, fabrication, IE3D simulation software, and Particle Swarm Optimization (PSO) Algorithm. Presently, he is working on the optimization of microstrip patch antenna with PSO and curve fitting. He has published research papers in journals and at conferences of repute.
Raghavendra Pal is working as an Assistant Professor in the Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India. His research interests include 5G V2X communications, Industrial Internet of Things, Machine learning in wireless communications, wireless communications and networking, ad hoc networks, and device-to-device communication. He has published research papers in journals and at conferences of repute.
Indrasen Singh is working as an Assistant Professor in the School of Electronics Engineering at Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. He has more than fifteen years of teaching/research experience and has published research papers in journals and conferences of repuation. He is the editorial board member of AJECE, Science Publishing Group, USA. His research interests are in the areas of cooperative communication, stochastic geometry, modeling of wireless networks, heterogeneous networks, millimeter wave communications, device-to-device communication, and 5G/6G communication.
Ramesh Kumar Verma is working as an Assistant Professor in the Department of Computer Science and Engineering at IMS Engineering College Ghaziabad, Uttar Pradesh, India. He is an expert in antenna designing, fabrication, IE3D simulation software, and Particle Swarm Optimization (PSO) Algorithm. Presently, he is working on the optimization of microstrip patch antenna with PSO and curve fitting. He has published research papers in journals and at conferences of repute.
Descriere
Cognitive Radio Networks discusses the latest issues of the physical layer, particularly multiple-input and multiple-output antenna design, frequency and pattern reconfigurable antenna design, and orthogonal frequency-division multiplexing scheme.