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.