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 …

Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning

ZM Fadlullah, B Mao, N Kato - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …

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 …

Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts

Q Wu, R Zhang - IEEE Transactions on Communications, 2019 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is a cost-effective solution for achieving high spectrum and
energy efficiency in future wireless networks by leveraging massive low-cost passive …

Intelligent reflecting surface: Practical phase shift model and beamforming optimization

S Abeywickrama, R Zhang, Q Wu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) that enables the control of wireless propagation
environment has recently emerged as a promising cost-effective technology for boosting the …

Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming

Q Wu, R Zhang - IEEE transactions on wireless …, 2019 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is a revolutionary and transformative technology for
achieving spectrum and energy efficient wireless communication cost-effectively in the …

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 …

Multiuser joint task offloading and resource optimization in proximate clouds

X Lyu, H Tian, C Sengul, P Zhang - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Proximate cloud computing enables computationally intensive applications on mobile
devices, providing a rich user experience. However, remote resource bottlenecks limit the …

Fifty years of MIMO detection: The road to large-scale MIMOs

S Yang, L Hanzo - IEEE communications surveys & tutorials, 2015 - ieeexplore.ieee.org
The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

ECOS: An SOCP solver for embedded systems

A Domahidi, E Chu, S Boyd - 2013 European control …, 2013 - ieeexplore.ieee.org
In this paper, we describe the embedded conic solver (ECOS), an interior-point solver for
second-order cone programming (SOCP) designed specifically for embedded applications …