A review of the state of the art and future challenges of deep learning-based beamforming

H Al Kassir, ZD Zaharis, PI Lazaridis… - IEEE …, 2022‏ - ieeexplore.ieee.org
The key objective of this paper is to explore the recent state-of-the-art artificial intelligence
(AI) applications on the broad field of beamforming. Hence, a multitude of AI-oriented …

Symbol-level and multicast precoding for multiuser multiantenna downlink: A state-of-the-art, classification, and challenges

M Alodeh, D Spano, A Kalantari… - … Surveys & Tutorials, 2018‏ - ieeexplore.ieee.org
Precoding has been conventionally considered as an effective means of mitigating or
exploiting the interference in the multiantenna downlink channel, where multiple users are …

[کتاب][B] Foundations of MIMO communication

RW Heath Jr, A Lozano - 2018‏ - books.google.com
Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …

Fast beamforming design via deep learning

H Huang, Y Peng, J Yang, W **a… - IEEE Transactions on …, 2019‏ - ieeexplore.ieee.org
Beamforming is considered as one of the most important techniques for designing advanced
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …

Sum-rate maximization for linearly precoded downlink multiuser MISO systems with partial CSIT: A rate-splitting approach

H Joudeh, B Clerckx - IEEE Transactions on Communications, 2016‏ - ieeexplore.ieee.org
This paper considers the sum-rate (SR) maximization problem in downlink multi-user
multiple input simgle output (MU-MISO) systems under imperfect channel state information …

Joint pilot and payload power allocation for massive-MIMO-enabled URLLC IIoT networks

H Ren, C Pan, Y Deng, M Elkashlan… - IEEE Journal on …, 2020‏ - ieeexplore.ieee.org
The Fourth Industrial Revolution (Industrial 4.0) is coming, and this revolution will
fundamentally enhance the way factories manufacture products. The conventional wired …

Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design

SS Christensen, R Agarwal… - IEEE Transactions …, 2008‏ - ieeexplore.ieee.org
This paper studies linear transmit filter design for Weighted Sum-Rate (WSR) maximization
in the Multiple Input Multiple Output Broadcast Channel (MIMO-BC). The problem of finding …

Large system analysis of linear precoding in correlated MISO broadcast channels under limited feedback

S Wagner, R Couillet, M Debbah… - IEEE transactions on …, 2012‏ - ieeexplore.ieee.org
In this paper, we study the sum rate performance of zero-forcing (ZF) and regularized ZF
(RZF) precoding in large MISO broadcast systems under the assumptions of imperfect …

Channel estimation and hybrid precoding for frequency selective multiuser mmWave MIMO systems

JP González-Coma… - IEEE Journal of …, 2018‏ - ieeexplore.ieee.org
Configuring the hybrid precoders and combiners in a millimeter wave multiuser multiple-
input multiple-output system is challenging in frequency selective channels. In this paper, we …

Max-Min Fairness of K-User Cooperative Rate-Splitting in MISO Broadcast Channel With User Relaying

Y Mao, B Clerckx, J Zhang, VOK Li… - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
Cooperative Rate-Splitting (CRS) strategy, relying on linearly precoded rate-splitting at the
transmitter and opportunistic transmission of the common message by the relaying user, has …