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Hybrid Massive MIMO Precoding in Cloud-RAN / Tho Le-Ngoc, Ruikai Mai

By: Le, Ngoc Tho,, (1954-), autor
Contributor(s): SpringerLink (Online service) | Mai, Ruikai, autor
Series: (Engineering (Springer-11647)); (Wireless Networks, 2366-1186).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (XVI, 149 páginas) : 34 ilustraciones, 21 ilustraciones a color.ISBN: 9783030021580.Subject: Sistemas de comunicación inalámbricos | Sistemas de telecomunicaciónOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK5103.4836 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBooks24062471
Total holds: 0

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.

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