Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks / by Tho Le-Ngoc, Atoosa Dalili Shoaei.

Format:

Book

Author/Creator:

Le-Ngoc, Tho., Author.

Dalili Shoaei, Atoosa., Author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Wireless Networks, 2366-1445

Language:

English

Subjects (All):

Computer networks.

Wireless communication systems.

Mobile communication systems.

Machine learning.

Telecommunication.

Computer Communication Networks.

Wireless and Mobile Communication.

Machine Learning.

Communications Engineering, Networks.

Local Subjects:

Computer Communication Networks.

Wireless and Mobile Communication.

Machine Learning.

Communications Engineering, Networks.

Physical Description:

1 online resource (XI, 191 pages) : 68 illustrations, 64 illustrations in color.

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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. .

Contents:

Introduction

Multiple Access Schemes for Machine-Type Communications: A Literature Review

MDP-based Access Scheme for Virtualized M2M Networks

Reconfigurable and Traffic-Aware Access Schemes for Virtualized M2M Networks

Learning-based Reconfigurable Access Schemes for virtualized M2M Networks

Efficient and Fair Access Scheme for MTC: LTE/WiFi Coexistence Case

A NOMA-Enhanced Reconfigurable Access Scheme with Device Pairing for MTC

A Distributed Contention-Resolution Self-Organizing TDMA Scheme for MTC

Conclusions and Future Works.

Other Format:

Printed edition:

ISBN:

978-3-030-60382-3

9783030603823

Access Restriction:

Restricted for use by site license.