TowardsWireless Heterogeneity in 6G Networks

The connected world paradigm effectuated through proliferation of mobile devices, Internet of Things (IoT) and the metaverse will offer novel services in coming years that need anytime, anywhere, high speed access. This book is on 6G concepts to support next generation applications: IoT, multiband devices and high-speed mobile applications.

Auteur

Dr. Abraham George is the professor and head in the Department of Computer Science and Information Technology at Alliance University, Bangalore, India. He earned his doctorate degree in computer science from the University of Louisville, and master's degree in computer science and communication and information sciences from Ball State University, Indiana. Dr. George has more than a decade and a half of industry experience with such multinational companies as Kyocera and National Instruments. While in industry, he managed product development teams that created complex and innovative products. Primary areas of interest of Dr. George include wireless networks, distributed computing, and machine learning. His PhD dissertation focused on developing mobility management protocols and algorithms for heterogeneous wireless systems with multi-hop capability that will enable users to obtain the best connectivity. He has several publications in top-rated journals and conferences.

Dr. G. Ramana Murthy is a professor in the Department of Electronics & Communication Engineering at Alliance University, Bangalore, India. His area of expertise is in VLSI and embedded systems. Dr. Murthy holds a doctor of philosophy from Multimedia University, Malaysia. Dr. Murthy has collaborated with various companies including Infineon Technologies, Intel, and MIMOS in Malaysia. He has more than two decades of overseas academic and administrative experience with institutions such as University of Northumbria in Newcastle, the United Kingdom, and Multimedia University, Cyberjaya, Malaysia. His research interests include VLSI, embedded systems, device modeling, memory optimization, low power design, FPGA, and evolutionary algorithms.