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A survey of recent advances in optimization methods for wireless communications
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
solution tool for the design of wireless communications systems. While optimization has …
A comprehensive survey of pilot contamination in massive MIMO—5G system
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 …
higher data capacity for mobile networks in 2020 and beyond. Although promising, each …
Massive MIMO networks: Spectral, energy, and hardware efficiency
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 …
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 …
comprehensive text. Viewing the subject through an information theory lens, but also …
Hybrid digital and analog beamforming design for large-scale antenna arrays
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 …
communication systems has motivated the study of large-scale antenna arrays for achieving …
A deep learning framework for optimization of MISO downlink beamforming
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 …
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 …
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?
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 …
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
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 …
single-output (MISO) network with a set of multi-antenna base stations (BSs) each …
Edge intelligence: Architectures, challenges, and applications
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 …
caching, processing, and analysis in locations close to where data is captured based on …