M
Michail Matthaiou
Researcher at Queen's University Belfast
Publications - 315
Citations - 11186
Michail Matthaiou is an academic researcher from Queen's University Belfast. The author has contributed to research in topics: MIMO & Fading. The author has an hindex of 44, co-authored 282 publications receiving 8563 citations. Previous affiliations of Michail Matthaiou include Chalmers University of Technology & Technische Universität München.
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Journal ArticleDOI
Millimeter Wave Communications for Future Mobile Networks
Ming Xiao,Shahid Mumtaz,Yongming Huang,Linglong Dai,Yonghui Li,Michail Matthaiou,George K. Karagiannidis,Emil Björnson,Kai Yang,Chih-Lin I,Amitabha Ghosh +10 more
TL;DR: A comprehensive survey of mmWave communications for future mobile networks (5G and beyond) is presented, including an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity.
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Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means
TL;DR: It is found that regardless of the Ricean K-factor, in the case of perfect CSI, the approximations converge to the same constant value as the exact results, as the number of base station antennas grows large, while the transmit power of each user can be scaled down proportionally to 1/M.
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On the Total Energy Efficiency of Cell-Free Massive MIMO
TL;DR: This work considers the cell-free massive multiple-input multiple-output (MIMO) downlink, where a very large number of distributed multiple-antenna access points (APs) serve many single-ant antenna users in the same time-frequency resource, and derives a closed-form expression for the spectral efficiency taking into account the effects of channel estimation errors and power control.
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Prospective Multiple Antenna Technologies for Beyond 5G
TL;DR: In this article, the authors survey three new multiple antenna technologies that can play key roles in beyond 5G networks: cell-free massive MIMO, beamspace massive mIMO and intelligent reflecting surfaces.
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Multipair Full-Duplex Relaying With Massive Arrays and Linear Processing
TL;DR: In this article, the authors considered a multi-user decode-and-forward relay channel, where multiple sources transmit simultaneously their signals to multiple destinations with the help of a full-duplex relay station and derived an exact achievable rate expression in closed-form for MRC/MRT processing and an analytical approximation of the achievable rate for ZF processing.