Next-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management

Jingjing Cui; Yuanwei Liu; Zhiguo Ding; Pingzhi Fan; Arumugam Nallanathan; Lajos Hanzo

doi:10.1109/MVT.2019.2922110

Next-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management

Jingjing Cui, Yuanwei Liu, Zhiguo Ding, Pingzhi Fan, Arumugam Nallanathan, Lajos Hanzo

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Millimeter-wave (mm-wave) small cells have been considered an effective technique for significantly improving the data rates of future networks. More particularly, this article investigates the potential benefits of mm-wave small-cell networks from the perspective of nonorthogonal multiple access (NOMA) and wireless caching. We highlight a range of innovative resource management solutions conceived for mm-wave small-cell networks by invoking adaptive learning. Finally, several promising future research directions for these networks are identified.

Original language	British English
Article number	8852694
Pages (from-to)	46-53
Number of pages	8
Journal	IEEE Vehicular Technology Magazine
Volume	15
Issue number	1
DOIs	https://doi.org/10.1109/MVT.2019.2922110
State	Published - Mar 2020

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abstract = "Millimeter-wave (mm-wave) small cells have been considered an effective technique for significantly improving the data rates of future networks. More particularly, this article investigates the potential benefits of mm-wave small-cell networks from the perspective of nonorthogonal multiple access (NOMA) and wireless caching. We highlight a range of innovative resource management solutions conceived for mm-wave small-cell networks by invoking adaptive learning. Finally, several promising future research directions for these networks are identified.",

author = "Jingjing Cui and Yuanwei Liu and Zhiguo Ding and Pingzhi Fan and Arumugam Nallanathan and Lajos Hanzo",

note = "Funding Information: The work of Pingzhi Fan was supported by NSFC project (61731017), the 111 project (111-2-14). L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/ Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society{\textquoteright}s Global Challenges Research Fund Grant as well as of the European Research Council{\textquoteright}s Advanced Fellow Grant QuantCom. Publisher Copyright: {\textcopyright} 2005-2012 IEEE.",

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AU - Fan, Pingzhi

AU - Nallanathan, Arumugam

AU - Hanzo, Lajos

N1 - Funding Information: The work of Pingzhi Fan was supported by NSFC project (61731017), the 111 project (111-2-14). L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/ Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom. Publisher Copyright: © 2005-2012 IEEE.

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AB - Millimeter-wave (mm-wave) small cells have been considered an effective technique for significantly improving the data rates of future networks. More particularly, this article investigates the potential benefits of mm-wave small-cell networks from the perspective of nonorthogonal multiple access (NOMA) and wireless caching. We highlight a range of innovative resource management solutions conceived for mm-wave small-cell networks by invoking adaptive learning. Finally, several promising future research directions for these networks are identified.

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Next-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management

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