Channel estimation techniques for millimeter-wave communication systems: Achievements and challenges

K Hassan, M Masarra, M Zwingelstein… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …

Channel estimation for extremely large-scale MIMO: Far-field or near-field?

M Cui, L Dai - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is promising to meet the
high rate requirements for future 6G. To realize efficient precoding, accurate channel state …

Cascaded channel estimation for large intelligent metasurface assisted massive MIMO

ZQ He, X Yuan - IEEE Wireless Communications Letters, 2019 - ieeexplore.ieee.org
In this letter, we consider the problem of channel estimation for large intelligent metasurface
(LIM) assisted massive multiple-input multiple-output (MIMO) systems. The main challenge …

Reconfigurable intelligent surfaces for energy efficiency in wireless communication

C Huang, A Zappone… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The adoption of a reconfigurable intelligent surface (RIS) for downlink multi-user
communication from a multi-antenna base station is investigated in this paper. We develop …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Achievable rate maximization by passive intelligent mirrors

C Huang, A Zappone, M Debbah… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper investigates the use of a Passive Intelligent Mirrors (PIM) to operate a multi-user
MISO downlink communication. The transmit powers and the mirror reflection coefficients …

User activity detection and channel estimation for grant-free random access in LEO satellite-enabled Internet of Things

Z Zhang, Y Li, C Huang, Q Guo, L Liu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
With recent advances on the dense low-Earth orbit (LEO) constellation, the LEO satellite
network has become one promising solution for providing global coverage for Internet-of …

Deep learning for beamspace channel estimation in millimeter-wave massive MIMO systems

X Wei, C Hu, L Dai - IEEE Transactions on Communications, 2020 - ieeexplore.ieee.org
Millimeter-wave massive multiple-input multiple-output (MIMO) can use a lens antenna array
to considerably reduce the number of radio frequency (RF) chains, but channel estimation is …

Intelligent task offloading for heterogeneous V2X communications

K Xiong, S Leng, C Huang, C Yuen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of autonomous driving technologies, it becomes difficult to
reconcile the conflict between ever-increasing demands for high process rate in the …

Unsupervised deep learning for massive MIMO hybrid beamforming

H Hojatian, J Nadal, JF Frigon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Hybrid beamforming is a promising technique to reduce the complexity and cost of massive
multiple-input multiple-output (MIMO) systems while providing high data rate. However, the …