000			03740nam a22004095i 4500
001			287406
003			MX-SnUAN
005			20160429154546.0
007			cr nn 008mamaa
008			150903s2013 xxk| o |||| 0|eng d
020			_a9781447142102 _99781447142102
024	7		_a10.1007/9781447142102 _2doi
035			_avtls000339753
039		9	_a201509030319 _bVLOAD _c201404300404 _dVLOAD _y201402060943 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTK1-9971
100	1		_aPelcat, Maxime. _eautor _9316566
245	1	0	_aPhysical Layer Multi-Core Prototyping : _bA Dataflow-Based Approach for LTE eNodeB / _cby Maxime Pelcat, Slaheddine Aridhi, Jonathan Piat, Jean-François Nezan.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2013.
300			_axv, 209 páginas 111 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aLecture Notes in Electrical Engineering, _x1876-1100 ; _v171
500			_aSpringer eBooks
505	0		_a3GPP Long Term Evolution -- Dataflow Model of Computation -- Rapid Prototyping and Programming Multi-core Architectures -- A System-Level Architecture Model -- Enhanced Rapid Prototyping -- Dataflow LTE Models -- Generating Code from LTE Models.
520			_aBase stations developed according to the 3GPP Long Term Evolution (LTE) standard require unprecedented processing power. 3GPP LTE enables data rates beyond hundreds of Mbits/s by using advanced technologies, necessitating a highly complex LTE physical layer. The operating power of base stations is a significant cost for operators, and is currently optimized using state-of-the-art hardware solutions, such as heterogeneous distributed systems. The traditional system design method of porting algorithms to heterogeneous distributed systems based on test-and-refine methods is a manual, thus time-expensive, task.   Physical Layer Multi-Core Prototyping: A Dataflow-Based Approach for LTE eNodeB provides a clear introduction to the 3GPP LTE physical layer and to dataflow-based prototyping and programming. The difficulties in the process of 3GPP LTE physical layer porting are outlined, with particular focus on automatic partitioning and scheduling, load balancing and computation latency reduction, specifically in systems based on heterogeneous multi-core Digital Signal Processors. Multi-core prototyping methods based on algorithm dataflow modeling and architecture system-level modeling are assessed with the goal of automating and optimizing algorithm porting.   With its analysis of physical layer processing and proposals of parallel programming methods, which include automatic partitioning and scheduling, Physical Layer Multi-Core Prototyping: A Dataflow-Based Approach for LTE eNodeB is a key resource for researchers and students. This study of LTE algorithms which require dynamic or static assignment and dynamic or static scheduling, allows readers to reassess and expand their knowledge of this vital component of LTE base station design.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aAridhi, Slaheddine. _eautor _9316567
700	1		_aPiat, Jonathan. _eautor _9316568
700	1		_aNezan, Jean-François. _eautor _9316569
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781447142096
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-4210-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c287406 _d287406