User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions
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 …
Service (QoS) requirements of future mobile networks. However, with a dense deployment of …
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 …
Airborne communication networks: A survey
Owing to the explosive growth of requirements of rapid emergency communication response
and accurate observation services, airborne communication networks (ACNs) have received …
and accurate observation services, airborne communication networks (ACNs) have received …
Learning to optimize: Training deep neural networks for wireless resource management
For decades, optimization has played a central role in addressing wireless resource
management problems such as power control and beamformer design. However, these …
management problems such as power control and beamformer design. However, these …
Content-centric sparse multicast beamforming for cache-enabled cloud RAN
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 …
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
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 …
block successive upper-bound minimization (BSUM). The BSUM includes as special cases …
Guaranteed matrix completion via non-convex factorization
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 …
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
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 …
stations (BSs) are connected to a central computing cloud via digital backhaul links with …
Group sparse beamforming for green cloud-RAN
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 …
of meeting the explosive growth of mobile data traffic. In this architecture, all the baseband …
Wireless communications in the era of big data
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 …
communication network's processing power. The pervasive and exponentially increasing …