This book investigates the analytical framework and hybrid precoding scheme in millimeter-wave networks. Millimeter-wave communication is a frontier technology for supporting ultra-high data rate transmissions in future wireless networks due to larger bandwidth and higher spectral efficiency. However, the involved interference characterization and increased energy consumption are two dominant limitations in millimeter-wave network evolution. In this monograph, we develop a unified analytical framework for large-scale millimeter-wave communication networks, which leads to abundant network design insights and guidelines. Under this framework, we design low-complexity hybrid precoding algorithms for millimeter-wave systems, which greatly reduce energy consumption without obvious performance degradation.
We would like to highlight that we develop a unified analytical framework and low-complexity hybrid precoding mechanisms for millimeter-wave communication networks, where a variety of millimeter-wave properties and hardware constraints are incorporated. The developed mechanisms can provide abundant insights and guidelines for the hybrid precoding design and analysis in millimeter-wave communication networks. Graduate students, researchers, and engineers in the field of communication networks can benefit from the book.
1.Introduction.- 2.Decoupled Heterogeneous Networks with mmWave Small
Cells .- 3.Performance Analysis of mmWave Cellular Networks with
Hotspot.- 4.Fine-Grained Analysis of Clustered mmWave Networks.- 5.Hybrid
Subarrays Based Angle-of-Arrivals Estimation for Millimeter-wave
Systems.- 6.Hybrid Precoder Design with Minimum-Subspace-Distortion
Quantization in Multiuser mmWave Communications.- 7.Hybrid Precoding for
Wideband Multiuser Millimeter-wave Systems.- 8.Hybrid Precoding Towards
Higher Frequency Systems.- 9.Summary and Discussion.
Kai Yang received the Ph.D. degree from Beijing Institute of Technology, China, in 2010. From 2010 to 2013, he was with Alcatel-Lucent Shanghai Bell, Shanghai, China. Now, he is a professor in the School of Information and Electronics, Beijing Institute of Technology, Beijing, China. His current research interests include resource allocation, convex optimization, massive MIMO, mmWave systems, and interference mitigation.
Minwei Shi received the B.S. degree in information and computing science and the M.S. degree in communication engineering from the Beijing Institute of Technology, Beijing, China, in 2015 and 2018, respectively, where he is currently pursuing the Ph.D. degree with the School of Information and Electronics. His research interests include modeling and performance analysis of wireless communication networks.
Hang Yuan received the B.S. degree in information engineering from the Beijing Institute of Technology, Beijing, China, in 2016, where he is currently pursuing the Ph.D. degree with the School of Information and Electronics. From 2017 to 2019, he was a visiting student with the Research School of Electrical, Energy, and Materials Engineering, Australian National University. His research interests include millimeter wave and terahertz communications.
Zhitong Ni received the B.E. degree in information engineering from the Beijing Institute of Technology, Beijing, China, in 2017. He is currently working toward the Ph.D. degree with the Beijing Institute of Technology and the University of Technology Sydney, Ultimo, NSW, Australia. His research interests include array signal processing, angle-of-arrival estimations, and precoding techniques in various applications including the fifth-generation millimeter-wave communications and joint radar and communication (Rad-Com) systems.
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