Sparse channel estimation and hybrid precoding using deep learning for millimeter wave massive MIMO

W Ma, C Qi, Z Zhang, J Cheng - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Channel estimation and hybrid precoding are considered for multi-user millimeter wave
massive multi-input multi-output system. A deep learning compressed sensing (DLCS) …

Fast beam training for IRS-assisted multiuser communications

C You, B Zheng, R Zhang - IEEE Wireless Communications …, 2020 - ieeexplore.ieee.org
In this letter, we consider an intelligent reflecting surface (IRS)-assisted multiuser
communication system, where an IRS is deployed to provide virtual line-of-sight (LoS) links …

Beam management in millimeter-wave communications for 5G and beyond

YNR Li, B Gao, X Zhang, K Huang - IEEE Access, 2020 - ieeexplore.ieee.org
Massive MIMO is one of the promising techniques to improve spectral efficiency and network
performance for reaching its targeted multi-gigabit throughput in 5G systems. For 5G New …

UAV communications with millimeter-wave beamforming: Potentials, scenarios, and challenges

Z Xiao, L Zhu, XG Xia - China Communications, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has been widely used in many fields and is arousing global
attention. As the resolution of the equipped sensors in the UAV becomes higher and the …

Stochastic geometry analysis of large intelligent surface-assisted millimeter wave networks

Y Zhu, G Zheng, KK Wong - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
Reliable and efficient networks are the trend for next-generation wireless communications.
Recent improved hardware technologies-known as Large Intelligent Surfaces (LISs)-have …

A tutorial on joint radar and communication transmission for vehicular networks—Part II: State of the art and challenges ahead

F Liu, C Masouros - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
In Part I of this three-part tutorial on dual-functional radar-communication (DFRC), we
overviewed the fundamental elements of DFRC. As Part II of the tutorial, this letter overviews …

Beam alignment and tracking for millimeter wave communications via bandit learning

J Zhang, Y Huang, Y Zhou, X You - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter wave (mmwave) communications have attracted increasing attention thanks to the
abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting …

Hierarchical codebook-based multiuser beam training for millimeter wave massive MIMO

C Qi, K Chen, OA Dobre, GY Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, multiuser beam training based on hierarchical codebook for millimeter wave
massive multi-input multi-output is investigated, where the base station (BS) simultaneously …

Intelligent interactive beam training for millimeter wave communications

J Zhang, Y Huang, J Wang, X You… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter wave communications, equipped with large-scale antenna arrays, are able to
provide Gbps data rates by exploring abundant spectrum resources. However, the use of a …

Machine learning for beam alignment in millimeter wave massive MIMO

W Ma, C Qi, GY Li - IEEE Wireless Communications Letters, 2020 - ieeexplore.ieee.org
This letter investigates beam alignment for multi-user millimeter wave (mmWave) massive
multi-input multi-output system. Unlike the existing works using machine learning (ML), an …