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.

Autorentext
Tho Le-Ngoc obtained his B.Eng. (with Distinction) in Electrical Engineering in 1976, his M.Eng. in 1978 from McGill University, Montreal, and his Ph.D. in Digital Communications in 1983 from the University of Ottawa, Canada. During 1977-1982, he was with Spar Aerospace Limited and involved in the development and design of satellite communications systems. During 1982-1985, he was an Engineering Manager of the Radio Group in the Department of Development Engineering of SRTelecom Inc., where he developed the new point-to-multipoint DA-TDMA/TDM Subscriber Radio System SR500. During 1985-2000, he was a Professor at the Department of Electrical and Computer Engineering of Concordia University. Since 2000, he has been with the Department of Electrical and Computer Engineering of McGill University. His research interest is in the area of broadband digital communications. He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Engineering Institute of Canada (EIC), the Canadian Academy of Engineering (CAE) and the Royal Society of Canada (RSC). He is the recipient of the 2004 Canadian Award in Telecommunications Research, and recipient of the IEEE Canada Fessenden Award 2005. He holds a Canada Research Chair (Tier I) on Broadband Access Communications. Atoosa Dalili Shoaei received the B.Sc. degree in information technology engineering from the Isfahan University of Technology, Isfahan, Iran, in 2009, the M.Sc. degree in information technology engineering from the Amirkabir University of Technology, Tehran, Iran, in 2012, and the Ph.D. degree in communications engineering from McGill University, Montreal, Canada, in 2019. Her main areas of research interests include media access control techniques, Internet of Things, and wireless virtualization. She was a recipient of the McGill Engineering Doctoral Awards (MEDA).

Inhalt
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.