Hybrid Massive MIMO Precoding in Cloud-RAN (Wireless Networks) - Hardcover

Le-Ngoc, Tho; Mai, Ruikai

Hardcover

ISBN 10: 3030021572 ISBN 13: 9783030021573

Publisher: Springer, 2018

Synopsis

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.

About this title

About the Author

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 the recipient of the IEEE Canada Fessenden Award 2005. He holds a Canada Research Chair (Tier I) on Broadband Access Communications. Yuanzhe Gong received the B.Eng. (Hons.) and Ph.D. degrees in Electrical and Computer Engineering from McGill University, Montreal, QC, Canada, in 2020 and 2025, respectively. Since 2018, he has served as a teaching assistant in the Department of Electrical and Computer Engineering at McGill and as a research associate with the Broadband Communication Research Laboratory. He was the recipient of the McGill Engineering Doctoral Award (MEDA), the Graduate Research Enhancement and Travel Award (GREAT Award), the McGill Graduate Excellence Fellowship, the Dean’s Honour List, and the McGill Faculty of Engineering Scholarship. His research interests include wireless communications, antenna design, metamaterial-based large-scale array structures, massive MIMO, near-field communications, intelligent beamforming optimization algorithms, and full-duplex systems. Mobeen Mahmood received his B.Sc. (Hons.) in Electrical Engineering from the University of Engineering and Technology (UET), Taxila, Pakistan in 2013; M.Sc. (Hons.) Electrical Engineering from the American University of Sharjah (AUS), Sharjah, UAE in 2019; and Ph.D. in Electrical Engineering from McGill University, Montreal, QC, Canada in 2024. From 2014 to 2017, he was with China Mobile Pakistan (CMPak), Islamabad, Pakistan. He is the recipient of AUS teaching assistantship, AUS research assistantship, Fonds de Recherche du Québec-Nature and Technologies (FRQNT), IEEE VTS Student Travel Award, IEEE Canada Vehicular Technologies Grant, McGill Graduate Research Enhancement and Travel Award (GREAT Award), McGill Graduate Excellence Fellowship, McGill Engineering Class of 1936 Fellowship, and J.W.McConnell Memorial Fellowship as part of McGill Engineering Doctoral Award (MEDA). His main research interests include massive MIMO, hybrid beamforming, UAV communications, AI-enable wireless networks, and full-duplex communications.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3030021572
• ISBN 13: 9783030021573
• Binding: Hardcover
• Edition number: 1
• Number of pages: 149