In this paper, we propose a new six-dimensional movable antenna (6DMA) system for future
wireless networks to improve the communication performance. Unlike the traditional fixed …

In this paper, we propose a conditional gradient method for solving constrained vector
optimization problems with respect to a partial order induced by a closed, convex and …

The latest updates on the Vertex Morphing technique for large optimization problems are
shown in this work. Discussions about the challenges of node-based shape optimization in …

Connectivity and different coverage types including target, area, and barrier coverages are
among the most critical challenges of wireless sensor networks (WSN). This paper …

Box-constrained optimization problems in the real m× n matrix space have been widely
applied in big data mining. However, efficient solution of them is still a challenge. In this …

This paper deals with nonconvex optimization problems via a two-level smoothing
framework in which the high-order Moreau envelope (HOME) is applied to generate a …

In this paper, an extended nonmonotone line search is proposed to improve the efficiency of
the existing line searches. This line search is first proved to be an extension of the classical …

Compressive sensing has been proved as an effective approach for the wireless
communications. However, it is challenging to efficiently recover the wideband spectrum …

Founded upon a sparse estimation of the Hessian obtained by a recent diagonal quasi-
Newton update, a conjugacy condition is given, and then, a class of conjugate gradient …

Purpose The goal of this research is to investigate the convergence behavior of the Newton
iteration, when solving the nonlinear problem with consideration of hysteresis effects …