User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions

HA Ammar, R Adve, S Shahbazpanahi… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Densification of network base stations is indispensable to achieve the stringent Quality of
Service (QoS) requirements of future mobile networks. However, with a dense deployment of …

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 …

Airborne communication networks: A survey

X Cao, P Yang, M Alzenad, X **, D Wu… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
Owing to the explosive growth of requirements of rapid emergency communication response
and accurate observation services, airborne communication networks (ACNs) have received …

Learning to optimize: Training deep neural networks for wireless resource management

H Sun, X Chen, Q Shi, M Hong, X Fu… - 2017 IEEE 18th …, 2017 - ieeexplore.ieee.org
For decades, optimization has played a central role in addressing wireless resource
management problems such as power control and beamformer design. However, these …

Content-centric sparse multicast beamforming for cache-enabled cloud RAN

M Tao, E Chen, H Zhou, W Yu - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
This paper presents a content-centric transmission design in a cloud radio access network
by incorporating multicasting and caching. Users requesting the same content form a …

A unified algorithmic framework for block-structured optimization involving big data: With applications in machine learning and signal processing

M Hong, M Razaviyayn, ZQ Luo… - IEEE Signal Processing …, 2015 - ieeexplore.ieee.org
This article presents a powerful algorithmic framework for big data optimization, called the
block successive upper-bound minimization (BSUM). The BSUM includes as special cases …

Guaranteed matrix completion via non-convex factorization

R Sun, ZQ Luo - IEEE Transactions on Information Theory, 2016 - ieeexplore.ieee.org
Matrix factorization is a popular approach for large-scale matrix completion. The optimization
formulation based on matrix factorization, even with huge size, can be solved very efficiently …

Sparse beamforming and user-centric clustering for downlink cloud radio access network

B Dai, W Yu - IEEE Access, 2014 - ieeexplore.ieee.org
This paper considers a downlink cloud radio access network (C-RAN) in which all the base-
stations (BSs) are connected to a central computing cloud via digital backhaul links with …

Group sparse beamforming for green cloud-RAN

Y Shi, J Zhang, KB Letaief - IEEE Transactions on Wireless …, 2014 - ieeexplore.ieee.org
A cloud radio access network (Cloud-RAN) is a network architecture that holds the promise
of meeting the explosive growth of mobile data traffic. In this architecture, all the baseband …

Wireless communications in the era of big data

S Bi, R Zhang, Z Ding, S Cui - IEEE communications magazine, 2015 - ieeexplore.ieee.org
The rapidly growing wave of wireless data service is pushing against the boundary of our
communication network's processing power. The pervasive and exponentially increasing …