A survey of recent advances in optimization methods for wireless communications

YF Liu, TH Chang, M Hong, Z Wu… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

A comprehensive survey of pilot contamination in massive MIMO—5G system

O Elijah, CY Leow, TA Rahman… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
Massive MIMO has been recognized as a promising technology to meet the demand for
higher data capacity for mobile networks in 2020 and beyond. Although promising, each …

Massive MIMO networks: Spectral, energy, and hardware efficiency

E Björnson, J Hoydis… - Foundations and Trends® …, 2017 - nowpublishers.com
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
the next generation of wireless communication networks because it has the potential to …

[SÁCH][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 …

Hybrid digital and analog beamforming design for large-scale antenna arrays

F Sohrabi, W Yu - IEEE Journal of Selected Topics in Signal …, 2016 - ieeexplore.ieee.org
The potential of using of millimeter wave (mmWave) frequency for future wireless cellular
communication systems has motivated the study of large-scale antenna arrays for achieving …

A deep learning framework for optimization of MISO downlink beamforming

W **a, G Zheng, Y Zhu, J Zhang, J Wang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Beamforming is an effective means to improve the quality of the received signals in multiuser
multiple-input-single-output (MISO) systems. Traditionally, finding the optimal beamforming …

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 …

Rethinking WMMSE: Can its complexity scale linearly with the number of BS antennas?

X Zhao, S Lu, Q Shi, ZQ Luo - IEEE Transactions on Signal …, 2023 - ieeexplore.ieee.org
Precoding design for maximizing weighted sum-rate (WSR) is a fundamental problem for
downlink of massive multi-user multiple-input multiple-output (MU-MIMO) systems. It is well …

Max-min fairness in IRS-aided multi-cell MISO systems with joint transmit and reflective beamforming

H **e, J Xu, YF Liu - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
This paper investigates an intelligent reflecting surface (IRS)-aided multi-cell multiple-input
single-output (MISO) network with a set of multi-antenna base stations (BSs) each …

Edge intelligence: Architectures, challenges, and applications

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - arxiv preprint arxiv …, 2020 - arxiv.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …