Intelligent communication networks research and applications / edited by Rajarshi Mahapatra, Siddhartha Bhattacharyya, Avishek Nag.
| Other author | Mahapatra, Rajarshi (Electrical engineer) |
| Other author | Bhattacharyya, Siddhartha, 1975- |
| Other author | Nag, Avishek. |
| Format | Electronic |
| Publication Info | Boca Raton, FL : CRC Press, 2024. |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| 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. |
| Abstract | "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 techniques in handling intelligent communication networks. Provides a detailed theoretical foundation of machine learning and computational intelligence algorithms. Highlights the state of art machine learning-based solutions for communication networks. Presents video demonstrations and code snippets on each chapter for easy understanding of the concepts. Discusses applications including resource allocation, spectrum management, channel estimation, and physical layer of wireless networks. Demonstrates applications of machine learning techniques for optical networks. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, and computer engineering"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023055307 |
| ISBN | 9781032300214 (hardback) |
| ISBN | 9781032300269 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |