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Massive MIMO meets small cell = back...

Yang, Howard H.

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Massive MIMO meets small cell = backhaul and cooperation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Massive MIMO meets small cell/ by Howard H. Yang, Tony Q.S. Quek.
Reminder of title:	backhaul and cooperation /
Author:	Yang, Howard H.
other author:	Quek, Tony Q.S.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	ix, 61 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Massive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing -- Massive MIMO in Small Cell Networks: Wireless Backhaul -- Conclusions.
Contained By:	Springer eBooks
Subject:	MIMO systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-43715-6
ISBN:	9783319437156

Massive MIMO meets small cell = backhaul and cooperation /
Yang, Howard H.

Massive MIMO meets small cellbackhaul and cooperation /[electronic resource] :by Howard H. Yang, Tony Q.S. Quek. - Cham :Springer International Publishing :2017. - ix, 61 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction -- Massive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing -- Massive MIMO in Small Cell Networks: Wireless Backhaul -- Conclusions.

This brief explores the utilization of large antenna arrays in massive multiple-input-multiple-output (MIMO) for both interference suppression, where it can improve cell-edge user rates, and for wireless backhaul in small cell networks, where macro base stations can forward data to small access points in an energy efficient way. Massive MIMO is deemed as a critical technology for next generation wireless technology. By deploying an antenna array that has active elements in excess of the number of users, massive MIMO not only provides tremendous diversity gain but also powers new aspects for network design to improve performance. This brief investigates a better utilization of the excessive spatial dimensions to improve network performance. It combines random matrix theory and stochastic geometry to develop an analytical framework that accounts for all the key features of a network, including number of antenna array, base station density, inter-cell interference, random base station deployment, and network traffic load. The authors explore the impact from different network parameters through numerical analysis. Researchers in wireless network design will find this to be an exceptional resource, as will advanced-level students or professionals working in networking and information systems design.

ISBN: 9783319437156

Standard No.: 10.1007/978-3-319-43715-6doiSubjects--Topical Terms:

811587
MIMO systems.

LC Class. No.: TK5103.4836

Dewey Class. No.: 621.382

Massive MIMO meets small cell = backhaul and cooperation /
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245 1 0 $a Massive MIMO meets small cell $h [electronic resource] : $b backhaul and cooperation / $c by Howard H. Yang, Tony Q.S. Quek.
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300 $a ix, 61 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Introduction -- Massive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing -- Massive MIMO in Small Cell Networks: Wireless Backhaul -- Conclusions.
520 $a This brief explores the utilization of large antenna arrays in massive multiple-input-multiple-output (MIMO) for both interference suppression, where it can improve cell-edge user rates, and for wireless backhaul in small cell networks, where macro base stations can forward data to small access points in an energy efficient way. Massive MIMO is deemed as a critical technology for next generation wireless technology. By deploying an antenna array that has active elements in excess of the number of users, massive MIMO not only provides tremendous diversity gain but also powers new aspects for network design to improve performance. This brief investigates a better utilization of the excessive spatial dimensions to improve network performance. It combines random matrix theory and stochastic geometry to develop an analytical framework that accounts for all the key features of a network, including number of antenna array, base station density, inter-cell interference, random base station deployment, and network traffic load. The authors explore the impact from different network parameters through numerical analysis. Researchers in wireless network design will find this to be an exceptional resource, as will advanced-level students or professionals working in networking and information systems design.
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