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 …

[HTML][HTML] A survey of Wi-Fi 6: Technologies, advances, and challenges

E Mozaffariahrar, F Theoleyre, M Menth - Future Internet, 2022 - mdpi.com
Wi-Fi is a popular wireless technology and is continuously extended to keep pace with
requirements such as high throughput, real-time communication, dense networks, or …

Evolution of NOMA toward next generation multiple access (NGMA) for 6G

Y Liu, S Zhang, X Mu, Z Ding, R Schober… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …

Fractional programming for communication systems—Part I: Power control and beamforming

K Shen, W Yu - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
Fractional programming (FP) refers to a family of optimization problems that involve ratio
term (s). This two-part paper explores the use of FP in the design and optimization of …

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 …

[KNYGA][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 …

Towards optimal power control via ensembling deep neural networks

F Liang, C Shen, W Yu, F Wu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A deep neural network (DNN) based power control method that aims at solving the non-
convex optimization problem of maximizing the sum rate of a fading multi-user interference …

[KNYGA][B] Convex analysis and global optimization

H Tuy, T Hoang, T Hoang, V Mathématicien, T Hoang… - 1998 - Springer
Optimization has been expanding in all directions at an astonishing rate during the last few
decades. New algorithmic and theoretical techniques have been developed, the diffusion …

Optimal resource allocation in coordinated multi-cell systems

E Björnson, E Jorswieck - Foundations and Trends® in …, 2013 - nowpublishers.com
The use of multiple antennas at base stations is a key component in the design of cellular
communication systems that can meet high-capacity demands in the downlink. Under ideal …

Fast global optimal power allocation in wireless networks by local DC programming

HH Kha, HD Tuan, HH Nguyen - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Power allocations in an interference-limited wireless network for global maximization of the
weighted sum throughput or global optimization of the minimum weighted rate among …