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 …

Principles of minimum variance robust adaptive beamforming design

SA Vorobyov - Signal Processing, 2013 - Elsevier
Robustness is typically understood as an ability of adaptive beamforming algorithm to
achieve high performance in the situations with imperfect, incomplete, or erroneous …

Precoding for full duplex multiuser MIMO systems: Spectral and energy efficiency maximization

D Nguyen, LN Tran, P Pirinen… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
We consider data transmissions in a full duplex (FD) multiuser multiple-input multiple-output
(MU-MIMO) system, where a base station (BS) bidirectionally communicates with multiple …

Fast algorithms for designing unimodular waveform (s) with good correlation properties

Y Li, SA Vorobyov - IEEE Transactions on Signal Processing, 2017 - ieeexplore.ieee.org
We develop new fast and efficient algorithms for designing single or multiple unimodular
waveforms with good auto-and cross-correlation or weighted correlation properties, which …

Joint beamforming and power allocation in downlink NOMA multiuser MIMO networks

X Sun, N Yang, S Yan, Z Ding, DWK Ng… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In this paper, a novel joint design of beamforming and power allocation is proposed for a
multi-cell multiuser multiple-input multiple-output non-orthogonal multiple access network. In …

Parallel and distributed methods for constrained nonconvex optimization-part ii: Applications in communications and machine learning

G Scutari, F Facchinei, L Lampariello… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the
minimization of a nonconvex objective function, subject to nonconvex constraints, based on …

Task offloading in hybrid intelligent reflecting surface and massive MIMO relay networks

K Wang, Y Zhou, Q Wu, W Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper investigates the task offloading problem in a hybrid intelligent reflecting surface
(IRS) and massive multiple-input multiple-output (MIMO) relay assisted fog computing …

Secure relay beamforming for SWIPT in amplify-and-forward two-way relay networks

Q Li, Q Zhang, J Qin - IEEE Transactions on Vehicular …, 2016 - ieeexplore.ieee.org
In this paper, we investigate the secure relay beamforming problem for simultaneous
wireless information and power transfer (SWIPT) in an amplify-and-forward (AF) two-way …

A new decomposition method for multiuser DC-programming and its applications

A Alvarado, G Scutari, JS Pang - IEEE Transactions on Signal …, 2014 - ieeexplore.ieee.org
We propose a novel decomposition framework for the distributed optimization of Difference
Convex (DC)-type nonseparable sum-utility functions subject to coupling convex constraints …

Energy and spectral efficiency tradeoff via rate splitting and common beamforming coordination in multicell networks

J Zhang, J Zhang, Y Zhou, H Ji, J Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Rate splitting (RS) has the potential to significantly enhance both energy efficiency (EE) and
spectral efficiency (SE) of wireless networks. In this paper, we propose joint design of the …