This book covers the basic theory of mean field game (MFG) and its
applications in wireless networks. It starts with an overview of the
current and future state-of-the-art in 5G and 6G wireless networks.
Then, a tutorial is presented for MFG, mean-field-type game (MFTG), and
prerequisite fields of study such as optimal control theory and
differential games. This book also includes a literature survey of
MFG-based research in wireless network technologies such as ultra-dense
networks (UDNs), device-to-device (D2D) communications,
internet-of-things (IoT), unmanned aerial vehicles (UAVs), and mobile
edge networks (MENs). Several applications of MFG and MFTG in UDNs,
social networks, and multi-access edge computing networks (MECNs) are
introduced as well.
Applications of MFG covered in this book are divided in three parts. The
first part covers three single-population MFG research works or case
studies in UDNs including ultra-dense D2D networks, ultra-dense UAV
networks, and dense-user MECNs. The second part centers on a
multiple-population MFG (MPMFG) modeling of belief and opinion evolution
in social networks. It focuses on a recently developed MPMFG framework
and its application in analyzing the behavior of users in a
multiple-population social network. Finally, the last part concentrates
on an MFTG approach to computation offloading in MECN. The computation
offloading algorithms are designed for energy- and time-efficient
offloading of computation-intensive tasks in an MECN.
This book targets advanced-level students, professors, researchers,
scientists, and engineers in the fields of communications and networks.
Industry managers and government employees working in these same fields
will also find this book useful.
