000			03422nam a22004215i 4500
999			_c102148 _d102148
001			102148
003			DE-He213
005			20230102113027.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			170724s2018 gw | s |||| 0|eng d
020			_a9783319604695
024	7		_a10.1007/978-3-319-60469-5 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA166.23 _bZ436 2018 EB
100	1		_aZhang, Hongliang. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/nr2003013434 _1http://viaf.org/viaf/260869326/
245	1	0	_aHypergraph Theory in Wireless Communication Networks _cby Hongliang Zhang, Lingyang Song, Zhu Han, Yingjun Zhang.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (IX, 62 páginas 26 ilustraciones, 14 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112
490	0		_aEngineering (Springer-11647)
505	0		_aBasics in Hypergraph Theory -- Key Algorithms -- Applications of Hypergraph Theory -- Conclusions and Future Works.
520	3		_aThis brief focuses on introducing a novel mathematical framework, referred as hypergraph theory, to model and solve the multiple interferer scenarios for future wireless communication networks. First, in Chap. 1, the authors introduce the basic preliminaries of hypergraph theory in general, and develop two hypergraph based polynomial algorithms, i.e., hypergraph coloring and hypergraph clustering. Then, in Chaps. 2 and 3, the authors present two emerging applications of hypergraph coloring and hypergraph clustering in Device-to-Device (D2D) underlay communication networks, respectively, in order to show the advantages of hypergraph theory compared with the traditional graph theory. Finally, in Chap. 4, the authors discuss the limitations of using hypergraph theory in future wireless networks and briefly present some other potential applications. This brief introduces the state-of-the-art research on the hypergraph theory and its applications in wireless communications. An efficient framework is provided for the researchers, professionals and advanced level students who are interested in the radio resource allocation in the heterogeneous networks to solve the resource allocation and interference management problems.
988			_aEBSPRINGER_2018
650		7	_2embne _9146336 _aGrafos, Teoría de
700	1		_aSong, Lingyang _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2010001263 _1http://viaf.org/viaf/106771384/ _999468
700	1		_aHan, Zhu _0http://id.loc.gov/authorities/names/n95116455 _1http://viaf.org/viaf/2470290/ _999469
700	1		_aZhang, Yingjun. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2017041259 _1http://viaf.org/viaf/91150030706710962474/
776	0	8	_iEdición impresa: _z9783319604671
776	0	8	_iEdición impresa: _z9783319604688
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-60469-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE