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Parallel and distributed methods for constrained nonconvex optimization—Part I: Theory
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 …
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 …
achieve high performance in the situations with imperfect, incomplete, or erroneous …
Precoding for full duplex multiuser MIMO systems: Spectral and energy efficiency maximization
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 …
(MU-MIMO) system, where a base station (BS) bidirectionally communicates with multiple …
Fast algorithms for designing unimodular waveform (s) with good correlation properties
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 …
waveforms with good auto-and cross-correlation or weighted correlation properties, which …
Joint beamforming and power allocation in downlink NOMA multiuser MIMO networks
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 …
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
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 …
minimization of a nonconvex objective function, subject to nonconvex constraints, based on …
Task offloading in hybrid intelligent reflecting surface and massive MIMO relay networks
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 …
(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
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 …
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
We propose a novel decomposition framework for the distributed optimization of Difference
Convex (DC)-type nonseparable sum-utility functions subject to coupling convex constraints …
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
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 …
spectral efficiency (SE) of wireless networks. In this paper, we propose joint design of the …