Massive Access for Cellular Internet of Things Theory and Technique

1. Auflage 2019
ISBN: 978-981-1365-96-6
Verlag: Springer Nature Singapore

Buch, Englisch, 130 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 254 g

Reihe: SpringerBriefs in Electrical and Computer Engineering

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, etc.

Zielgruppe

Research

Autoren/Hrsg.

Chen, Xiaoming

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

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.- Summary.

Über Autor(innen)

Xiaoming Chen is a professor with the College of Information Science and Electronic Engineering, Zhejiang University, China. His research interests are in the areas of wireless communication and signal processing, mainly including fifth-generation (5G) key techniques, IoT theory and technique, and machine learning in communications. Prof. Chen has published more than 100 referred papers in IEEE Journals and conferences. He is serving as an Editor of IEEE Transactions on Communications and IEEE Communications Letters.