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Non-Orthogonal Multiple Access for Massive Connectivity

  • Yuanwei Liu
  • Zhijin Qin
  • Zhiguo Ding
Book

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Background

    1. Front Matter
      Pages 1-1
    2. Yuanwei Liu, Zhijin Qin, Zhiguo Ding
      Pages 3-6
    3. Yuanwei Liu, Zhijin Qin, Zhiguo Ding
      Pages 7-12
  3. NOMA in Future Wireless Networks

    1. Front Matter
      Pages 13-13
    2. Yuanwei Liu, Zhijin Qin, Zhiguo Ding
      Pages 15-44
    3. Yuanwei Liu, Zhijin Qin, Zhiguo Ding
      Pages 45-65
    4. Yuanwei Liu, Zhijin Qin, Zhiguo Ding
      Pages 67-87
    5. Yuanwei Liu, Zhijin Qin, Zhiguo Ding
      Pages 89-94
  4. Challenges and Conclusions

    1. Front Matter
      Pages 95-95
    2. Yuanwei Liu, Zhijin Qin, Zhiguo Ding
      Pages 97-98
  5. Back Matter
    Pages 99-101

About this book

Introduction

This book discusses non-orthogonal multiple access (NOMA) and the various issues in NOMA networks, including capability, sustainability, and security. This book starts from the basics and key techniques of NOMA. Subsequently, the authors discuss three critical issues in NOMA networks, including compatibility, sustainability, and security. Particularly, the authors first demonstrate the applications of NOMA in different networks including MIMO-NOMA, NOMA in heterogeneous networks, and NOMA in cognitive radio networks to show the compatibility of NOMA with various networks. Then the wireless powered NOMA networks are presented to address the sustainability issues in NOMA networks to extend the network reliability and lifetime. The security enhanced NOMA networks are discussed for single antenna case and multiple antenna case, respectively. Finally, the most recent developments on artificial intelligence (AI) enabled NOMA networks are discussed and the research challenges on NOMA to support massive number of devices are identified.

  • Presents the NOMA enabled wireless networks to support massive connectivity
  • Provides a framework for NOMA in the next generation of wireless communication systems
  • Includes an overview of the AI-enabled NOMA networks to provide massive access opportunities with heterogeneous transmission requirements

Keywords

Artificial intelligence and Non-Orthogonal Multiple Access Compatibility and Non-Orthogonal Multiple Access Internet of Things and Non-Orthogonal Multiple Access non-orthogonal multiple access orthogonal multiple access

Authors and affiliations

  • Yuanwei Liu
    • 1
  • Zhijin Qin
    • 2
  • Zhiguo Ding
    • 3
  1. 1.LondonUK
  2. 2.LondonUK
  3. 3.ManchesterUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-30975-6
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-30974-9
  • Online ISBN 978-3-030-30975-6
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site