000			03527nam a22005175i 4500
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003			TR-AnTOB
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008			220722s2022 sz | s |||| 0|eng d
020			_a9783031045127
024	7		_a10.1007/978-3-031-04512-7 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aTK5103.4836
072		7	_aTJF _2bicssc
072		7	_aTEC024000 _2bisacsh
072		7	_aTJF _2thema
090			_aTK5103.4836EBK
100	1		_aBello, Ibrahim A. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aAlgorithms and VLSI Implementations of MIMO Detection _h[electronic resource] / _cby Ibrahim A. Bello, Basel Halak.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Background -- MIMO Preprocessing -- Sphere Decoder -- K-best Detector -- Conclusion and Future Directions.
520			_aThis book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation and modelling steps and register transfer level modelling using hardware description languages. Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail; Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput; Discusses design tradeoffs that will guide readers’ efforts when implementing MIMO algorithms in hardware; Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements.
650		0	_aTelecommunication.
650		0	_aElectronics.
650		0	_aElectronic circuits.
650	1	4	_aMicrowaves, RF Engineering and Optical Communications.
650	2	4	_aElectronics and Microelectronics, Instrumentation.
650	2	4	_aElectronic Circuits and Systems.
653		0	_aDetectors
653		0	_aMIMO systems
700	1		_aHalak, Basel. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-031-04512-7 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK