Massive Access for Cellular Internet of Things Theory and Technique / by Xiaoming Chen

Von:

Chen, Xiaoming [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerBriefs in Electrical and Computer Engineering | Springer eBooks EngineeringVerlag: Singapore : Springer, 2019Beschreibung: 1 Online-Ressource (IX, 130 p. 48 illus., 28 illus. in color)ISBN:

9789811365973

Schlagwörter:

Andere physische Formen: 9789811365966 | Erscheint auch als: 978-981-13-6596-6 Druck-AusgabeLOC-Klassifikation:

TK1-9971

DOI: DOI: 10.1007/978-981-13-6597-3Online-Ressourcen:

Zusammenfassung: Introduction -- Massive Access with Full Channel State Information -- Massive Access with Channel Quantization Codebook -- Massive Access with Channel Reciprocity -- Massive Access with Channel Statistical Information -- SummaryZusammenfassung: This book focuses on massive access to the cellular internet of things (IoT). Both theory and technique are addressed, with more weight placed on the latter. This is achieved by providing in-depth studies on a number of central topics such as channel state information acquisition, user clustering, superposition coding, and successive interference cancellation. Four typical application scenarios are examined in detail, namely the stationary IoT device scenario, frequency division duplex-based low-mobility IoT device scenario, time-division duplex-based IoT device scenario, and high-mobility IoT device scenario. The comprehensive and systematic treatment of key techniques in massive access to the cellular IoT is one of the major features of the book, which is particularly suited for readers who are interested in finding practical solutions for the cellular IoT. As such, it will benefit researchers, engineers, and graduate students in the fields of information engineering, telecommunications engineering, computer engineering, etcPPN: PPN: 1666727113Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

Exemplare ( 0 )

Dieser Titel hat keine Exemplare