书目名称 | Intelligent Signal Processing and RF Energy Harvesting for State of art 5G and B5G Networks |
编辑 | Javaid A. Sheikh,Taimoor Khan,Binod Kumar Kanaujia |
视频video | |
概述 | Introduces the concept, implementation, and technological challenges of efficient wireless energy harvesting methods.Discusses efficient bio-inspired algorithms and their utility in wireless networks |
丛书名称 | Energy Systems in Electrical Engineering |
图书封面 |  |
描述 | 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.. |
出版日期 | Book 2024 |
关键词 | Energy Harvesting; Bio-Inspired Algorithms; Reconfigurable Antennas; 5G and IOT; Optimization Techniques |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-99-8771-9 |
isbn_softcover | 978-981-99-8773-3 |
isbn_ebook | 978-981-99-8771-9Series ISSN 2199-8582 Series E-ISSN 2199-8590 |
issn_series | 2199-8582 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |