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Hybrid Massive MIMO Precoding in Cloud-RAN [electronic resource] / by Tho Le-Ngoc, Ruikai Mai.

By: Le-Ngoc, Tho [author.].
Contributor(s): Mai, Ruikai [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Wireless Networks: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XVI, 149 p. 34 illus., 21 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030021580.Subject(s): Wireless communication systems | Mobile communication systems | Telecommunication | Transportation engineering | Traffic engineering | Wireless and Mobile Communication | Communications Engineering, Networks | Transportation Technology and Traffic EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.384 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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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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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