Landscaping 6G | Unlocking the Power of Ultra-Fast Communication
Language: English
Published by CRC Press, 2026
- Hardcover
- New

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US$ 187.28
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Landscaping 6G | Unlocking the Power of Ultra-Fast Communication | Upinder Kaur (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041162537 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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- Title
- Landscaping 6G | Unlocking the Power of Ultra-Fast Communication
- Author
- Upinder Kaur (u. a.)
- Publisher
- CRC Press
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1041162537
- ISBN 13
- 9781041162537
- Item weight
- 625 grams
- Dimensions
- 260 x 183 x 17 mm
- Seller catalogs
- Bücher
At the intersection of cutting-edge technology and environmental stewardship lies the transformative potential of 6G. This book examines the critical relationship between advanced energy-efficient hardware, intelligent infrastructure integration, and environmental conservation, exploring how ultra-fast communication technologies can revolutionize our approach to sustainability while delivering unprecedented connectivity.
From augmented reality applications promoting sustainability to intelligent transport systems, green energy solutions, and environmental conservation support, this book presents real-world case studies that illuminate 6G's practical potential. In the emerging era of generative AI, readers will discover how these technologies can work in concert to address our most pressing ecological challenges while creating new opportunities for innovation and growth.
This essential resource speaks to a diverse audience of technology professionals, environmental scientists, policy makers, and forward-thinking business leaders in the fields of communication technology, environmental science, and sustainable development.
"Synopsis" may belong to another edition of this title.
About the Author
Upinder Kaur is Head of the Computer Science and Engineering Department at Akal University. Her career in the field of computer science spans more than 20 years, encompassing both academia and research. She has contributed more than 30 research articles, presented at international conferences, and published in reputable journals indexed in renowned databases such as Scopus and SCI. She has also edited three books with reputable publishers. Her research interests are diverse, focusing on artificial intelligence and machine learning, exploring the practical applications of deep learning, and delving into the intricacies of cloud computing. Through Dr. Kaur’s innovative perspectives and pioneering research, she continues to advance knowledge within these dynamic and evolving fields.
Aparna Kumari is affiliated with the Department of Computer Science and Engineering, Institute of Technology, Nirma University in Ahmedabad, India. She has over 12 years of experience in research and teaching. Her research interests include smart grid systems, blockchain technology, electric vehicles, and renewable energy sources. In 2023, She was awarded the Shri P. Prahlaad Chabaria Award for Best Woman Professional. She has been listed among the world’s top 2% scientists as per the list published by Stanford University in 2021, 2022, and 2023. Two of her novel works on COVID‑19 have been approved by the World Health Organization (WHO) and included in their COVID‑19 Global literature on coronavirus disease database. She has authored/co-authored 40 publications, including 28 peer-reviewed SCI-indexed international journal articles, 10 papers in top-tier IEEE international conferences, and 2 book chapters with reputed publishers. She is an active member of IEEE and Women in Engineering (WIE) India. Dr. Kumari strives to contribute to society through her outreach efforts and aims to facilitate access to resources for underprivileged students.
Hemant Kumar Saini works as an academic at Lincoln University, Malaysia, and the School of Computer Science Engineering at Bennett University (The Times Group), Greater Noida, India. He earned his Ph.D. in Computer Science and Engineering from Manipal University and has been honored for his research work by the Governor of Rajasthan during his master’s studies. He has more than 14 years of teaching experience. Dr. Saini is an active member of ISTE, IEEE, IAENG, and CSI. He has demonstrated his research prowess by publishing articles in renowned SCI and Scopus‑indexed journals and conference proceedings. He has published several national and international articles and authored, edited and co-edited 18 books. He has delivered many lectures in the ATAL‑sponsored faculty development programs and keynote speeches in National and International Conferences. He is an editorial board member and a reviewer of many international journals of repute. His research interest includes wireless networks, soft computing, deep and machine learning, Internet of Things (IoT), Industry 4.0, and smart contract. His contributions to these fields have been widely recognized, and he continues to push the boundaries of scientific knowledge.
Surbhi B. Khan is working in the School of Science, Engineering and Environment, Data Science Department at the University of Salford, United Kingdom. She is a certified project management professional (PMP) and was ranked among the top 2% of scientists globally by Stanford University for two consecutive years (2023 and 2024). She has published over 200 articles and books in high-indexed outlets with her students and colleagues. She has received several awards, including "best paper", to mention one such example. Surbhi serves as Deputy Editor-in-Chief for TCE Letters, Associate Editor for IEEE Transactions on Consumer Electronics, HCIS, and EAAI journals and Guest Editor for many other reputed journals. She is also involved in projects funded by external organizations from the UK, India, and Middle Eastern institutes. She has served as a session chair at many IEEE conferences and has been invited as a resource person for international conferences and faculty development programs. Dr. Khan is a member of Women in Data Science Worldwide (WiDS) and was a WiDS Ambassador in 2024. Her research interests include machine learning, deep learning, data science in healthcare, and sentiment analysis.
Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at the Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She earned her Ph.D. in Computer Science and Networks from ENSAM‑Moulay Ismail University, Meknes, Morocco in 2019. Dr. Ouaissa graduated as a Networks and Telecoms Engineer in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a Co‑Founder and IT Consultant at IT Support and Consulting Center. She was Visiting Professor at the School of Technology, Meknes, Morocco, between 2013 and 2021. She is a member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she has been an ACM Professional Member. She is an Expert Reviewer for Academic Exchange Information Centre (AEIC) and a Brand Ambassador for Bentham Science. Dr. Ouaissa has served on technical program and organizing committees for several conferences and events and has organized numerous symposiums, workshops, and conferences as General Chair. Her contributions to information security and privacy, IoT security, and wireless and constrained networks security are noteworthy. Her main research topics include IoT, M2M, D2D, WSN, cellular networks, and vehicular networks. Dr. Ouaissa has published over 120 papers, including book chapters, international journal articles, and conference/workshop proceedings, as well as 40 edited books and 10 special issues as Guest Editor.
"About the title" may belong to another edition of this title.
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