Massive Access for Cellular Internet of Things Theory and Technique

  • Xiaoming┬áChen

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Xiaoming Chen
    Pages 1-13
  3. Xiaoming Chen
    Pages 65-93
  4. Xiaoming Chen
    Pages 123-130

About this book


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.


Internet of things Cellular internet of things Massive access Non-orthogonal multiple access Channel state information acquisition User clustering Superposition coding Successive interference cancellation 5G massive IoT NB-IoT LTE-M

Authors and affiliations

  • Xiaoming┬áChen
    • 1
  1. 1.Zhejiang UniversityHangzhouChina

Bibliographic information

  • DOI
  • Copyright Information The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-13-6596-6
  • Online ISBN 978-981-13-6597-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site
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