@article{1440760,
      author = {Banez, Reginald A., and Li, Lixin, and Yang, Chungang, and  Han, Zhu,},
      url = {http://library.usi.edu/record/1440760},
      title = {Mean field game and its applications in wireless networks  /},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-030-86905-2},
      recid = {1440760},
      pages = {1 online resource :},
}