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008			211030s2021 sz | s |||| 0|eng d
020			_a9783030869052
024	7		_a10.1007/978-3-030-86905-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.83 _b2021 EB
100	1		_aBanez, Reginald A
245	1	0	_aMean Field Game and its Applications in Wireless Networks _cby Reginald A. Banez, Lixin Li, Chungang Yang, Zhu Han.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (X, 178 páginas) _b31 ilustraciones, 30 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aWireless Networks _x2366-1445
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_a1. 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.
520	3		_aThis 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.
988			_aSpringer_Computer_2021
650		7	_2embne _9158044 _aSistemas de comunicación inalámbricos
700	1		_aLi, Lixin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aYang, Chungang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aHan, Zhu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030869045
776	0	8	_iPrinted edition: _z9783030869069
776	0	8	_iPrinted edition: _z9783030869076
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-86905-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dq _eh _zSI