Massive Access for Cellular Internet of Things Theory and Technique



de

Éditeur :

Springer


Paru le : 2019-05-07



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
52,74

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
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.
Pages
130 pages
Collection
n.c
Parution
2019-05-07
Marque
Springer
EAN papier
9789811365966
EAN PDF
9789811365973

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
3635 Ko
Prix
52,74 €
EAN EPUB
9789811365973

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
15626 Ko
Prix
52,74 €

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. 

Suggestions personnalisées