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Hybrid massive MIMO precoding in Clo...

Le-Ngoc, Tho.

Hybrid massive MIMO precoding in Cloud-RAN

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid massive MIMO precoding in Cloud-RANby Tho Le-Ngoc, Ruikai Mai.
Author:	Le-Ngoc, Tho.
other author:	Mai, Ruikai.
Published:	Cham :Springer International Publishing :2019.
Description:	xvi, 149 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	MIMO systems.
Online resource:	https://doi.org/10.1007/978-3-030-02158-0
ISBN:	9783030021580$q(electronic bk.)

Hybrid massive MIMO precoding in Cloud-RAN
Le-Ngoc, Tho.

Hybrid massive MIMO precoding in Cloud-RAN[electronic resource] /by Tho Le-Ngoc, Ruikai Mai. - Cham :Springer International Publishing :2019. - xvi, 149 p. :ill., digital ;24 cm. - Wireless networks,2366-1186. - Wireless networks..

1 Introduction -- 2 Background -- 3 Hybrid Precoding and Combining for Massive MIMO Wireless Backhauling -- 4 Hybrid Precoding/Combining for Massive MIMO With Hybrid ARQ -- 5 Nonlinear Hybrid Precoding for Massive MIMO With Fractional Frequency Reuse -- 6 Nonlinear Hybrid Precoding for Massive MIMO With Universal Frequency Reuse -- 7 Conclusions.

This book covers the design and optimization of hybrid RF-baseband precoding for massive multiple-input multiple-output (MIMO)-enabled cloud radio access networks (RANs), where use cases such as millimeter-wave wireless backhauling, fully-loaded cellular networks are of interest. The suitability and practical implementation of the proposed precoding solutions for the Cloud RAN architecture are also discussed. Novel techniques are examined for RF precoding optimization in combination with nonlinear precoding at baseband, and the superiority of joint RF-baseband design is verified. Moreover, the efficacy of hybrid RF-baseband precoding to combat intercell interference in a multi-cell environment with universal frequency reuse is investigated, which is concluded to be a promising enabler for the dense deployment of base stations. This book mainly targets researchers and engineers interested in the challenges, optimization, and implementation of massive MIMO precoding in 5G Cloud RAN. Graduate students in electrical engineering and computer science interested in the application of mathematical optimization to model and solve precoding problems in massive MIMO cellular systems will also be interested in this book.

ISBN: 9783030021580$q(electronic bk.)

Standard No.: 10.1007/978-3-030-02158-0doiSubjects--Topical Terms:

246675
MIMO systems.

LC Class. No.: TK5103.4836 / .L464 2019

Dewey Class. No.: 621.384

Hybrid massive MIMO precoding in Cloud-RAN
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245 1 0 $a Hybrid massive MIMO precoding in Cloud-RAN $h [electronic resource] / $c by Tho Le-Ngoc, Ruikai Mai.
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505 0 $a 1 Introduction -- 2 Background -- 3 Hybrid Precoding and Combining for Massive MIMO Wireless Backhauling -- 4 Hybrid Precoding/Combining for Massive MIMO With Hybrid ARQ -- 5 Nonlinear Hybrid Precoding for Massive MIMO With Fractional Frequency Reuse -- 6 Nonlinear Hybrid Precoding for Massive MIMO With Universal Frequency Reuse -- 7 Conclusions.
520 $a This book covers the design and optimization of hybrid RF-baseband precoding for massive multiple-input multiple-output (MIMO)-enabled cloud radio access networks (RANs), where use cases such as millimeter-wave wireless backhauling, fully-loaded cellular networks are of interest. The suitability and practical implementation of the proposed precoding solutions for the Cloud RAN architecture are also discussed. Novel techniques are examined for RF precoding optimization in combination with nonlinear precoding at baseband, and the superiority of joint RF-baseband design is verified. Moreover, the efficacy of hybrid RF-baseband precoding to combat intercell interference in a multi-cell environment with universal frequency reuse is investigated, which is concluded to be a promising enabler for the dense deployment of base stations. This book mainly targets researchers and engineers interested in the challenges, optimization, and implementation of massive MIMO precoding in 5G Cloud RAN. Graduate students in electrical engineering and computer science interested in the application of mathematical optimization to model and solve precoding problems in massive MIMO cellular systems will also be interested in this book.
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