The book covers all the emerging paradigms of machine learning and bio-inspired algorithms and their synergies with communication networks which may prove as a core 5G and 6G enablers. It consists of 16 chapters divided into three fields. Section 1 introduces the fundamentals of broadband wireless networks and issues related to energy efficiency and optimization. Section 2 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. Section 3 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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