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Non-Orthogonal Multiple Access for Massive Connectivity

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Non-Orthogonal Multiple Access for Massive Connectivity/ by Yuanwei Liu, Zhijin Qin, Zhiguo Ding.
Author:	Liu, Yuanwei.
other author:	Qin, Zhijin.
Description:	XIV, 101 p. 26 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-30975-6
ISBN:	9783030309756

Non-Orthogonal Multiple Access for Massive Connectivity
Liu, Yuanwei.

Non-Orthogonal Multiple Access for Massive Connectivity[electronic resource] /by Yuanwei Liu, Zhijin Qin, Zhiguo Ding. - 1st ed. 2020. - XIV, 101 p. 26 illus., 25 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

Introduction -- Compatibility in NOMA -- Sustainability of NOMA -- Security in NOMA -- Artificial Intelligence (AI) enabled NOMA -- Open Issues and Challenges -- Conclusion.

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.

ISBN: 9783030309756

Standard No.: 10.1007/978-3-030-30975-6doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Non-Orthogonal Multiple Access for Massive Connectivity
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