Javaid A. Sheikh – författare

The book presents the modern design and analysis principles of mm-Wave devices and communication systems for wireless devices and showcases design insights, and challenges when integrating mm-Wave devices and communication systems.Presents analytical and numerical approaches regarding mm-Wave devices for 5G communication.Discusses modern design and analysis principles of other mm-Wave devices like filters and rectifiers for communication systems.Explains intelligent signal processing algorithms for intelligent B5G (6G) networks for sensing and communications.Covers big data and artificial intelligence for advanced network optimization in 5G communication and beyond.Showcases machine learning-driven metamaterial-inspired wearable antennas for biomedical applications.The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

The book presents the modern design and analysis principles of mm-Wave devices and communication systems for wireless devices and showcases design insights, and challenges when integrating mm-Wave devices and communication systems. Presents analytical and numerical approaches regarding mm-Wave devices for 5G communication. Discusses modern design and analysis principles of other mm-Wave devices like filters and rectifiers for communication systems. Explains intelligent signal processing algorithms for intelligent B5G (6G) networks for sensing and communications. Covers big data and artificial intelligence for advanced network optimization in 5G communication and beyond. Showcases machine learning-driven metamaterial-inspired wearable antennas for biomedical applications. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

The book presents the modern design and analysis principles of mm-Wave devices and communication systems for wireless devices and showcases design insights, and challenges when integrating mm-Wave devices and communication systems. Presents analytical and numerical approaches regarding mm-Wave devices for 5G communication. Discusses modern design and analysis principles of other mm-Wave devices like filters and rectifiers for communication systems. Explains intelligent signal processing algorithms for intelligent B5G (6G) networks for sensing and communications. Covers big data and artificial intelligence for advanced network optimization in 5G communication and beyond. Showcases machine learning-driven metamaterial-inspired wearable antennas for biomedical applications. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

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.

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.