Joint task offloading and resource allocation in UAV-enabled mobile edge computing
Mobile edge computing (MEC) is an emerging technology to support resource-intensive yet
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …
Mobile edge computing via a UAV-mounted cloudlet: Optimization of bit allocation and path planning
Unmanned aerial vehicles (UAVs) have been recently considered as means to provide
enhanced coverage or relaying services to mobile users (MUs) in wireless systems with …
enhanced coverage or relaying services to mobile users (MUs) in wireless systems with …
DC programming and DCA: thirty years of developments
HA Le Thi, T Pham Dinh - Mathematical Programming, 2018 - Springer
The year 2015 marks the 30th birthday of DC (Difference of Convex functions) programming
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …
Parallel and distributed methods for constrained nonconvex optimization—Part I: Theory
G Scutari, F Facchinei… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this two-part paper, we propose a general algorithmic framework for the minimization of a
nonconvex smooth function subject to nonconvex smooth constraints, and also consider …
nonconvex smooth function subject to nonconvex smooth constraints, and also consider …
Open issues and recent advances in DC programming and DCA
HA Le Thi, T Pham Dinh - Journal of Global Optimization, 2024 - Springer
DC (difference of convex functions) programming and DC algorithm (DCA) are powerful
tools for nonsmooth nonconvex optimization. This field was created in 1985 by Pham Dinh …
tools for nonsmooth nonconvex optimization. This field was created in 1985 by Pham Dinh …
Service-oriented network resource orchestration in space-air-ground integrated network
Space-air-ground integrated networks (SAGINs) are envisioned to provide seamless
coverage and enhanced flexibility compared with traditional terrestrial mobile networks …
coverage and enhanced flexibility compared with traditional terrestrial mobile networks …
Linearized ADMM for nonconvex nonsmooth optimization with convergence analysis
Linearized alternating direction method of multipliers (ADMM) as an extension of ADMM has
been widely used to solve linearly constrained problems in signal processing, machine …
been widely used to solve linearly constrained problems in signal processing, machine …
Intelligent reflecting surface assisted secure wireless communications with multiple-transmit and multiple-receive antennas
W Jiang, Y Zhang, J Wu, W Feng, Y Jin - IEEE access, 2020 - ieeexplore.ieee.org
In this paper, we propose intelligent reflecting surfaces (IRS) assisted secure wireless
communications with multi-input and multi-output antennas (IRS-MIMOME). The considered …
communications with multi-input and multi-output antennas (IRS-MIMOME). The considered …
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints
As two important types of generalized convex functions, pseudoconvex and quasiconvex
functions appear in many practical optimization problems. The lack of convexity poses some …
functions appear in many practical optimization problems. The lack of convexity poses some …
Marine IoT Systems With Space–Air–Sea Integrated Networks: Hybrid LEO and UAV Edge Computing
Marine Internet of Things (IoT) systems have grown substantially with the development of
nonterrestrial networks (NTNs) via aerial and space vehicles in the upcoming sixth …
nonterrestrial networks (NTNs) via aerial and space vehicles in the upcoming sixth …