Towards Wireless Heterogeneity in 6G Networks

The connected world paradigm effectuated through the proliferation of mobile devices, Internet of Things (IoT), and the metaverse will offer novel services in the coming years that need anytime, anywhere, high-speed access. The success of this paradigm will highly depend on the ability of the devices to always obtain the optimal network connectivity for an application and on the seamless mobility of the devices. This book will discuss 6G concepts and architectures to support next-generation applications such as IoT, multiband devices, and high-speed mobile applications. IoT applications put forth significant challenges on the network in terms of spectrum utilization, latency, energy efficiency, large number of users, and supporting different application characteristics in terms of reliability, data rate, and latency.While the 5G network developmentwas motivated by the need for larger bandwidth and higher quality of service (QoS), 6G considerations are supporting many users with a wide application requirement, lowering network operating cost, and enhanced network flexibility. Network generations beyond 5G are expected to accommodate massive number of devices with the proliferation of connected devices concept in connected cars, industrial automation, medical devices, and consumer devices.

This book will address the fundamental design consideration for 6G networks and beyond. There are many technical challenges that need to be explored in the next generation of networks, such as increased spectrum utilization, lower latency, higher data rates, accommodating more users, heterogeneous wireless connectivity, distributed algorithms, and device-centric connectivity due to diversified mobile environments and IoT application characteristics. Since 6G is a multidisciplinary topic, this book will primarily focus on aspects of device characteristics, wireless heterogeneity, traffic engineering, device-centric connectivity, and smartness of application.

1 6G: Opportunities and challenges

SRIDHAR THOTA AND RAKSHIT GOVIND T

2 Disruptive technology directions for 6G

VARTIKA KULSHRESTHA AND KARAN R. JAGDALE

3 Ultra-dense deployments in next-generation networks and metaverse

RAVI SEKHAR YARRABOTHU AND G RAMANA MURTHY

4 Cognitive radios

N. CHITRA KIRAN

5 A novel energy-efficient optimization technique for intelligent transportation systems

SHAIK RAJAK, INBARASAN MUNIRAJ, POONGUNDRAN SELVAPRABHU, VETRIVEERAN RAJAMANI AND SUNIL CHINNADURAI

6 AI applications at the scheduling and resource allocation schemes in web medium

R. SHEKHAR, P. MANO PAUL AND DIANA JEBA JINGLE

7 6G vision on edge artificial intelligence

B. NIVETHA, POONGUNDRAN SELVAPRABHU, VIVEK MENON U., VETRIVEERAN RAJAMANI AND SUNIL CHINNADURAI

8 Artificial intelligence-based energy efficiency models in green communications towards 6G

NEELAPALA ANIL KUMAR AND RAVURI DANIEL

9 Centralized traffic engineering

M. W. HUSSAIN

10 Cooperative network paradigm for device-centric nodes

ABRAHAM GEORGE

11 Edge computing and edge intelligence

SRIKANTH ITAPU, G RAMANA MURTHY AND MOHAN KRISHNA

12 Network virtualization

GEETHA A AND PUNAM KUMARI

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.