Intelligent communication networks : research and applications / edited by Rajarshi Mahapatra, Siddhartha Bhattacharyya, Avishek Nag.
"With the advent of Big Data, conventional communication networks are often limited in their inability to handle complex and voluminous data and information as far as effective processing, transmission and reception are concerned. The text discusses the evolution of computational intelligence t...
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Full Text (via Taylor & Francis) |
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2024.
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| Subjects: |
Table of Contents:
- Various deep learning based resource allocation techniques in wireless communication system / Satish Kumar, Rajarshi Mahapatra
- Federated deep reinforcement learning-based resource allocation in heterogeneous networks / Satish Kumar, Rajarshi Mahapatra
- A comprehensive overview of internet of nano things (IoNT) in the next generation heterogeneous networks : deployment aspects, applications, and challenges / Hadi Zahmatkesh
- Emerging world of metaverse : an Indian perspective / Aasita Bali, Arishmita Aditya
- Intelligent optical networks : challenges, opportunities, and applications / R. K. Jeyachitra, Manochandar. S., Pradeep Doss. M.
- Machine learning for non-orthogonal multiple access / Abhinav Singh Parihar, Shubham Bisen, Vimal Bhatia, Ondrej Krejcar
- Compensating inbound signal strength for radio controlled mobile robots using ANFIS / M. Bobyr
- Optimising wireless sensor networks using machine learning / Sandhya Armoogum, Doorgesh Sookarah
- Machine learning-assisted interference management in the 6G UAV networks with soft frequency reuse / Md. Sakir Hossain, Md. Imran Ahmed, Rayhan Khan Ridoy, Mirza Hasibul Hasan, Md. Shakhawat Hossain
- Intelligence in communication networks : classification, clustering, reinforcement learning, deep learning / Kiran Muloor, Somesh Kumar Sahu, Tapan Kumar Behera, Debabrata Samanta.