The alternating direction method of multipliers (ADMM) is widely used to solve large-scale
linearly constrained optimization problems, convex or nonconvex, in many engineering …

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 …

The concept of Multi-access Edge Computing (MEC) has been recently introduced to
supplement cloud computing by deploying MEC servers to the network edge so as to reduce …

Mathematical optimization has always been at the heart of engineering, statistics, and
economics. In these applied domains, optimization concepts and methods have often been …

Recently, unmanned aerial vehicles (UAVs) have found growing applications in wireless
communications and sensor networks. One of the key challenges for UAV-based wireless …

The paper investigates the joint design of transmit waveform and receive filter for multiple-
input multiple-output radar in the presence of signal-dependent interference, subject to a …

With the rapid growth in technology, the use of Unmanned Aerial Vehicles (UAVs) have
increased in civil and military applications including rescue operations, disaster recovery …

Beamforming is an attractive technique to improve the system performance for multi-input
multi-output (MIMO) communications. Previous works mainly focus on improving the data …

Motivated by a class of applied problems arising from physical layer based security in a
digital communication system, in particular, by a secrecy sum-rate maximization problem …

In this paper, we provide a unified iteration complexity analysis for a family of general block
coordinate descent methods, covering popular methods such as the block coordinate …