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Intelligent signal processing and RF energy harvesting for state of art 5G and B5G networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent signal processing and RF energy harvesting for state of art 5G and B5G networksedited by Javaid A. Sheikh, Taimoor Khan, Binod Kumar Kanaujia.
其他作者:	Sheikh, Javaid A.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xiii, 196 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Wireless communication systems.
電子資源:	https://doi.org/10.1007/978-981-99-8771-9
ISBN:	9789819987719$q(electronic bk.)

Intelligent signal processing and RF energy harvesting for state of art 5G and B5G networks
Intelligent signal processing and RF energy harvesting for state of art 5G and B5G networks[electronic resource] /edited by Javaid A. Sheikh, Taimoor Khan, Binod Kumar Kanaujia. - Singapore :Springer Nature Singapore :2024. - xiii, 196 p. :ill. (chiefly col.), digital ;24 cm. - Energy systems in electrical engineering,2199-8590. - Energy systems in electrical engineering..

Chapter 1. Radio Frequency Energy Harvesting for Low Power Applications -- Chapter 2. Intelligent and Reliable Cognitive 5G using Whale Optimization Techniques -- Chapter 3. Wearable Antennas for Indoor and Outdoor Communications -- Chapter 4. An Overview of Different Energy Efficient Optimization Methods -- Chapter 5. An Overview of Different Energy Efficient Methods for 5G and Beyond Networks -- Chapter 6. Design of Energy Efficient RF-MEMS based Energy Harvesters for Industrial Internet of Things (IIOT) -- Chapter 7. Meta-material Inspired Wideband on-body Antenna for Bio-medical Applications -- Chapter 8. Radio Frequency (RF) Energy Harvesting in IOT Devices and introduction to Rectennas.

The book covers all the emerging paradigms of machine learning and bio-inspired algorithms and their synergies with communication networks which may prove to a core 5G and 6G enablers. It consists of 11 chapters with varied fields. The book introduces the fundamentals of broadband wireless networks and issues related to energy efficiency and optimization. Also, it discusses the efficient bio-inspired algorithms and their utility in wireless networks for 5G, B5G, and IoT. Different fitness functions for different bio-inspired and other artificial intelligence algorithms are described in the book. More importantly it also introduces the concept, implementation, and technological challenges of efficient wireless energy harvesting methods. The book discusses different methodologies for efficient antenna designs. It also covers real-time applications on the Internet of Medical Things (IOMT) The book helps the readers to understand the subject and solve many real-time issues. It proves a ready reference to the researchers working in RF, artificial intelligence, machine learning, and communication networks.

ISBN: 9789819987719$q(electronic bk.)

Standard No.: 10.1007/978-981-99-8771-9doiSubjects--Topical Terms:

182744
Wireless communication systems.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.384

Intelligent signal processing and RF energy harvesting for state of art 5G and B5G networks
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520 $a The book covers all the emerging paradigms of machine learning and bio-inspired algorithms and their synergies with communication networks which may prove to a core 5G and 6G enablers. It consists of 11 chapters with varied fields. The book introduces the fundamentals of broadband wireless networks and issues related to energy efficiency and optimization. Also, it discusses the efficient bio-inspired algorithms and their utility in wireless networks for 5G, B5G, and IoT. Different fitness functions for different bio-inspired and other artificial intelligence algorithms are described in the book. More importantly it also introduces the concept, implementation, and technological challenges of efficient wireless energy harvesting methods. The book discusses different methodologies for efficient antenna designs. It also covers real-time applications on the Internet of Medical Things (IOMT) The book helps the readers to understand the subject and solve many real-time issues. It proves a ready reference to the researchers working in RF, artificial intelligence, machine learning, and communication networks.
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