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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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