000			02800nam a2200421 i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c110726 _d110726
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003			ES-MaUEC
005			20230102113435.0
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007			cr nn nnnaamaa
008			190423s2019 gw a o |||| 0|eng d
020			_a9783030158842
024	7		_a10.1007/978-3-030-15884-2 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK5102.9 _b2019 EB
100	1		_aZhang, Ying-Jun Angela _eautor _9671319
245	1	0	_aScalable Signal Processing in Cloud Radio Access Networks _cby Ying-Jun Angela Zhang, Congmin Fan, Xiaojun Yuan
264		1	_aCham _bSpringer _c2019
300			_a1 recurso en línea (XI, 100 páginas) _b30 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aSpringerBriefs in Electrical and Computer Engineering _x2191-8112
520	3		_aThis Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity. Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where 'scalable' means that the computational and implementation complexities do not grow rapidly with the network size. This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.
650		7	_2embne _aProceso de señales _9150608
650		7	_2embne _aInformática en la nube _9666069
700	1		_aFan, Congmin. _eautor
700	1		_aYuan, Xiaojun. _eautor
776	0	8	_iPrinted edition: _z9783030158835
776	0	8	_iPrinted edition: _z9783030158859
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-15884-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b11/2019 _eu _zSI