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Algorithms and VLSI Implementations of MIMO Detection
Kategorie	Beschreibung
036a	XA-CH
037b	eng
087q	978-3-031-04511-0
087q	978-3-031-04513-4
087q	978-3-031-04514-1
100	Bello, Ibrahim A. ¬[VerfasserIn]¬
104a	Halak, Basel ¬[VerfasserIn]¬
331	Algorithms and VLSI Implementations of MIMO Detection
403	1st ed. 2022.
410	Cham
410	Cham
412	Springer International Publishing
412	Imprint: Springer
425	2022
425	2022
425a	2022
433	1 Online-Ressource(XXI, 150 p. 43 illus., 6 illus. in color.)
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-031-04511-0
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-031-04513-4
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-031-04514-1
540a	ISBN 978-3-031-04512-7
700	\|TJF
700	\|TEC024000
700b	\|621.3
750	Introduction -- Background -- MIMO Preprocessing -- Sphere Decoder -- K-best Detector -- Conclusion and Future Directions.
753	This 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.
012	1811677053
081	Algorithms and VLSI Implementations of MIMO Detection
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttps://doi.org/10.1007/978-3-031-04512-7