Over the past few years, the demand for data traffic has
experienced explosive growth thanks to the increasing need to stay
online. New applications of communications, such as wearable
devices, autonomous systems, drones, and the Internet of Things
(IoT), continue to emerge and generate even more data traffic with
vastly different performance requirements. With the COVID-19
pandemic, the need to stay online has become even more crucial, as
most of the fields, would they be industrial, educational,
economic, or service-oriented, had to go online as best as they
can. As the data traffic is expected to continuously strain the
capacity of future communication networks, these networks need to
evolve consistently in order to keep up with the growth of data
traffic. Thus, more intelligent processing, operation, and
optimization will be needed for tomorrow’s communication
networks. The Sixth Generation (6G) technology is latest approach
for mobile systems or edge devices in terms of reduce traffic
congestions, energy consumption blending with IoT devices
applications. The 6G network works beyond the 5G (B5G),
where we can use various platforms as an application e.g. fog
computing enabled IoT networks, Intelligent techniques for SDN
network, 6G enabled healthcare industry, energy aware location
management. Still this technology must resolve few challenges like
security, IoT enabled trust network. This book will focus on the
use of AI/ML-based techniques to solve issues related to 6G enabled
networks, their layers, as well as their applications. It will be a
collection of original contributions regarding state-of-the-art
AI/ML-based solutions for signal detection, channel modeling,
resource optimization, routing protocol design, transport layer
optimization, user/application behavior prediction 6G enabled
software-defined networking, congestion control, communication
network optimization, security, and anomaly detection. The proposed
edited book emphasis on the 6G network blended with Fog-IoT
networks to introduce its applications and future perspectives that
helps the researcher to apply this technique in their domain and it
may also helpful to resolve the challenges and future opportunities
with 6G networks.
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