Mean Field Game and its Applications in Wireless Networks, 1st ed. 2021 Wireless Networks Series

1. Overview of Mean Field Games in Wireless Networks.- 2. Introduction to Mean Field Games and Mean-Field-Type Games.- 3. A Survey of Mean Field Game Applications in Wireless Networks.- 4. Mean Field Game Applications in Ultra-Dense 5G, 6G, and Beyond Wireless Networks.- 5. Multiple-Population Mean Field Game for Social Networks.- 6. Mean-Field-Type Game for Multi-Access Edge Computing Networks.

Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as in the Computer Science Department at the University of Houston, Texas. Dr. Han was an IEEE Communications Society Distinguished Lecturer from 2015-2018, IEEE Fellow since 2014, AAAS fellow since 2019 and ACM distinguished Member since 2019. Dr. Han is 1% highly cited researcher since 2017 according to Web of Science. Dr. Han is also the winner of 2021 IEEE Kiyo Tomiyasu Award, for outstanding early to mid-career contributions to technologies holding the promise of innovative applications, with the following citation: ``for contributions to game theory and distributed management of autonomous communication networks

Reginald A. Banez received the B.S. degree in Electronics and Communications Engineering from the Mapúa University, Manila, Philippines, in 2008, and the Master’s and Ph.D. degrees in Electrical Engineering from the University of Houston, Texas, USA, in 2015 and 2020, respectively. He was a recipient of the UH Cullen College of Engineering Graduate Tuition Fellowship from 2017 to 2020. He was a post-doctoral researcher with the Department of Electrical and Computer Engineering at the University of Houston from 2020 to 2021. His research interests include communication networks, mean field games, and machine learning.

Lixin Li received the B.S., the M.S. and the Ph.D. degrees from Northwestern Polytechnical University (NPU), Xi’an, China, in 2001, 2004, and 2008, respectively. He was a Postdoctoral Fellow with NPU from 2009 to 2011. In 2017, He was a Visiting Scholar with the University of Houston, Texas. He is currently an Associate Professor with the School of

Provides a discussion of the basic theory of mean field game (MFG) and mean-field-type game (MFTG) as well as their prerequisites such as optimal control theory and differential games

Applications of MFG and MFTG in 5G/6G wireless networks literature are summarized for the reader to gain understanding of how MFG and MFTG are utilized and acquire ideas on possible new applications of MFG and MFTG in wireless networks

Features research works on MFG and MFTG wireless network applications in more detail, so the reader gains a deeper understanding of MFG and MFTG mathematical formulations and their importance in evaluating and improving wireless network performance