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Total Size:
21.9 MB
Info Hash:
8FB5F6FC4551EC03244D551BEF3FDC791D052E5F
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Added:
April 22, 2026, 9:02 p.m.
Stats:
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(Last updated: April 22, 2026, 9:04 p.m.)
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| Tripathi S. Development of 6G Networks and Technology 2025.pdf | 21.9 MB |
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11.6 MB
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2023-11-01
| Uploaded by indexFroggy | Size 11.6 MB | Health [ 27 /1 ] | Added 2023-11-01 |
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18.3 MB
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2025-06-03
| Uploaded by andryold1 | Size 18.3 MB | Health [ 37 /14 ] | Added 2025-06-03 |
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160.8 MB
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2026-03-29
| Uploaded by andryold1 | Size 160.8 MB | Health [ 24 /13 ] | Added 2026-03-29 |
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| Uploaded by indexFroggy | Size 23.8 MB | Health [ 27 /6 ] | Added 2023-07-01 |
NOTE
SOURCE: Tripathi S. Development of 6G Networks and Technology 2025
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COVER
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MEDIAINFO
Textbook in PDF format This book provides an in-depth exploration of the potential impact of 6G networks on various industries, including healthcare, agriculture, transport, and national security, making it an essential resource for researchers, scholars, and students working in the field of wireless networks and high-speed data processing systems. Development of 6G Networks and Technology explores the benefits and challenges of 5G and beyond that play a key role in the development of the next generation of internet. 6G is targeted to improve download speeds, eliminate latency, reduce congestion on mobile networks, and support advancements in technology. 6G has the potential to transform how the human, physical, and digital worlds interact with each other and the capability to support advancements in technology, such as virtual reality (VR), augmented reality (AR), the metaverse, and artificial intelligence (AI). Machine learning and deep learning modules are also an integral part of almost all automated systems where signal processing is performed at different levels. Signal processing in the form text, image, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of IC area with embedded bulk memories that lead to power consumption. Trade-offs between power consumption, delay, and IC area are always a concern of designers and researchers. Energy-efficient, high-speed data processing is required in major areas like biomedicine and healthcare, agriculture, transport, climate change, and national security and defense. This book will provide a foundation and initial inputs for researchers, scholars, and students working in the areas of wireless networks and high-speed data processing systems. It also provides techniques, tools, and methodologies to develop next-generation internet and 6G. About the Author Suman Lata Tripathi, PhD, is a professor at Lovely Professional University, Phagwara, India with more than seventeen years of experience in academics. She has published more than 74 research papers in refereed science journals and conferences, 14 books, and a book series in addition to 13 Indian patents and four copyrights. She has organized several workshops, summer internships, and expert lectures for students and has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer in national and international journals and conferences. Mufti Mahmud, PhD, is an associate professor of Cognitive Computing in the Department of Computer Science at Nottingham Trent University, United Kingdom. Additionally, he serves as the coordinator of the Computer Science and Informatics Unit of Assessment in the Research Excellence Framework at the university and the deputy group leader of and the Cognitive Computing and Brain Informatics research group. He is also an active member of the Computing and Informatics Research Centre and Medical Technologies Innovation Facility. He is a fellow of the Higher Education Academy, a senior member of the Institute of Electrical and Electronics Engineering, the Association of Computing Machinery, and a professional member of the British Computer Society. C. Narmadha, PhD, is an associate professor and head of the Department of Electronics and Communication Engineering at the Periyar Maniammai Institute of Science and Technology and University, India. She has more than 19 years of academic experience and has published more than 15 research articles. Additionally, she has organized several workshops, summer internships, expert lectures, and research and innovation activities for students. She is a professional associated as a member of the Indian Society for Technical Education, Computer Society of India, and Broadcast Engineering Society. Her areas of expertise include wireless sensor networks, computer and communication systems, and signal processing. S. Albert Alexander, PhD, is the recipient of the prestigious Raman Research Fellowship from the University Grants Commission from the Government of India. He has 15 years of academic and research experience, has published 57 technical papers in national and international journals, and presented 53 papers at national and international conferences. Additionally, he has completed four Government of India-funded projects and is currently working on an additional four research projects. He is a member and in prestigious positions in various national and international forums and has been invited as a speaker for over 250 programs across India and the United States
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