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Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks

  • Provides the background on the MTC systems and their access schemes requirements
  • Addresses the MTC access schemes requirements by proposing a reconfigurable access scheme structure taking into account the traffic statistics of devices
  • Presents insight for designing proper and efficient access schemes for MTC systems

Part of the book series: Wireless Networks (WN)

  • 1366 Accesses

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xi
  2. Introduction

    • Tho Le-Ngoc, Atoosa Dalili Shoaei
    Pages 1-11
  3. MDP-Based Access Scheme for Virtualized M2M Networks

    • Tho Le-Ngoc, Atoosa Dalili Shoaei
    Pages 55-71
  4. Learning-Based Reconfigurable Access Schemes for Virtualized M2M Networks

    • Tho Le-Ngoc, Atoosa Dalili Shoaei
    Pages 95-111
  5. Efficient and Fair Access Scheme for MTC: LTE/WiFi Coexistence Case

    • Tho Le-Ngoc, Atoosa Dalili Shoaei
    Pages 113-135
  6. A NOMA-Enhanced Reconfigurable Access Scheme with Device Pairing for MTC

    • Tho Le-Ngoc, Atoosa Dalili Shoaei
    Pages 137-153
  7. A Distributed Contention-Resolution Self-Organizing TDMA Scheme for MTC

    • Tho Le-Ngoc, Atoosa Dalili Shoaei
    Pages 155-185
  8. Conclusions and Future Works

    • Tho Le-Ngoc, Atoosa Dalili Shoaei
    Pages 187-191

About this book

This book assists readers with understanding the key aspects, problems and solutions related to the design of proper Multiple Access Schemes for MTC (Machine-Type Communications) and IoT applications in 5G-and-beyond wireless networks. An overview of MTC applications and their traffic features are also provided. In addition, it presents a comprehensive review of MTC access schemes including orthogonal multiple access schemes (OMA), non-orthogonal multiple access schemes (NOMA), massive MIMO-based schemes and fast uplink grant approaches. It also proposes efficient and reconfigurable access schemes deploying machine learning and optimization techniques to address the main requirements of MTC networks. This book  discusses potential research directions to further enhance the performance of MTC access schemes.


Machine-type communications are expected to account for the dominant share of the traffic in future wireless networks. While in traditional wireless networks, designed for human-type communications, the focus is on support of large packet sizes in downlink, machine-type communication systems deal with heavy uplink traffic. This is due to the nature of the tasks performed by machine-type communication devices, which is mainly reporting measured data or a detected event. Furthermore, in these networks, using the virtualization framework, the network infrastructure can be shared between different applications for which providing isolation is of high importance. To support these unique characteristics of machine-type communications, proper access schemes need to be developed, which is the focus of this book.

This book benefits advanced-level students studying computer science and electrical engineering as a secondary textbook and researchers working in this field. Engineers and practitioners interested in the challenges and practical solutions of integrating MTC in the cloud radio access network of 5G-and-beyond cellular systems will want to purchase this book as well. 


Authors and Affiliations

  • Electrical and Computer Engineering, McGill University, Montreal, Canada

    Tho Le-Ngoc, Atoosa Dalili Shoaei

About the authors

Tho Le-Ngoc obtained his B.Eng. (with Distinction) in Electrical Engineering in 1976, his M.Eng. in 1978 from McGill University, Montreal, and his Ph.D. in Digital Communications in 1983 from the University of Ottawa, Canada. During 1977-1982, he was with Spar Aerospace Limited and involved in the development and design of satellite communications systems. During 1982-1985, he was an Engineering Manager of the Radio Group in the Department of Development Engineering of SRTelecom Inc., where he developed the new point-to-multipoint DA-TDMA/TDM Subscriber Radio System SR500. During 1985-2000, he was a Professor at the Department of Electrical and Computer Engineering of Concordia University. Since 2000, he has been with the Department of Electrical and Computer Engineering of McGill University. His research interest is in the area of broadband digital communications. He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Engineering Institute of Canada (EIC), the Canadian Academy of Engineering (CAE) and the Royal Society of Canada (RSC). He is the recipient of the 2004 Canadian Award in Telecommunications Research, and recipient of the IEEE Canada Fessenden Award 2005. He holds a Canada Research Chair (Tier I) on Broadband Access Communications.

Atoosa Dalili Shoaei received the B.Sc. degree in information technology engineering from the Isfahan University of Technology, Isfahan, Iran, in 2009, the M.Sc. degree in information technology engineering from the Amirkabir University of Technology, Tehran, Iran, in 2012, and the Ph.D. degree in communications engineering from McGill University, Montreal, Canada, in 2019. Her main areas of research interests include media access control techniques, Internet of Things, and wireless virtualization. She was a recipient of the McGill Engineering Doctoral Awards (MEDA).



Bibliographic Information

  • Book Title: Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks

  • Authors: Tho Le-Ngoc, Atoosa Dalili Shoaei

  • Series Title: Wireless Networks

  • DOI: https://doi.org/10.1007/978-3-030-60382-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-60381-6Published: 22 November 2020

  • Softcover ISBN: 978-3-030-60384-7Published: 22 November 2021

  • eBook ISBN: 978-3-030-60382-3Published: 21 November 2020

  • Series ISSN: 2366-1186

  • Series E-ISSN: 2366-1445

  • Edition Number: 1

  • Number of Pages: XI, 191

  • Number of Illustrations: 4 b/w illustrations, 64 illustrations in colour

  • Topics: Computer Communication Networks, Wireless and Mobile Communication, Machine Learning, Communications Engineering, Networks

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access