© 2019

Hybrid Massive MIMO Precoding in Cloud-RAN


Part of the Wireless Networks book series (WN)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Tho Le-Ngoc, Ruikai Mai
    Pages 1-10
  3. Tho Le-Ngoc, Ruikai Mai
    Pages 11-28
  4. Tho Le-Ngoc, Ruikai Mai
    Pages 145-149

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, 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.


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

Authors and affiliations

  1. 1.Department of Electrical and Computer EngineeringMcGill UniversityMontréalCanada
  2. 2.Department of Electrical and Computer EngineeringMcGill UniversityMontréalCanada

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