Overview
- Presents 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
- This hybrid approach provides a new perspective on the design of massive MIMO systems
- Discusses the suitability and practical implementation of the proposed precoding solutions for the Cloud RAN architecture
Part of the book series: Wireless Networks (WN)
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Table of contents (7 chapters)
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Front Matter
Keywords
- Massive multiple-input multiple-output (MIMO)
- hybrid RF-baseband precoding/combining
- two-timescale channel state information
- wireless backhauling
- coordinated multi-point (CoMP)
- joint RF-baseband optimization
- nonlinear precoding
- minimum mean square errors
- channel tracking
- Kalman filtering
- semi-definite programming
- approximate joint diagonalization
- matrix manifold optimization
- discrete monotonic optimization
- Cayle transformation
- vector perturbation
About this book
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, andimplementation 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.
Authors and Affiliations
Bibliographic Information
Book Title: Hybrid Massive MIMO Precoding in Cloud-RAN
Authors: Tho Le-Ngoc, Ruikai Mai
Series Title: Wireless Networks
DOI: https://doi.org/10.1007/978-3-030-02158-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-02157-3Published: 10 December 2018
eBook ISBN: 978-3-030-02158-0Published: 28 November 2018
Series ISSN: 2366-1186
Series E-ISSN: 2366-1445
Edition Number: 1
Number of Pages: XVI, 149
Number of Illustrations: 13 b/w illustrations, 21 illustrations in colour
Topics: Wireless and Mobile Communication, Communications Engineering, Networks, Transportation Technology and Traffic Engineering