A survey of recent advances in optimization methods for wireless communications
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
solution tool for the design of wireless communications systems. While optimization has …
RIS-assisted integrated sensing and communication systems: Joint reflection and beamforming design
The Integrated Sensing and Communication (ISAC) system merged with Reconfigurable
Intelligent Surface (RIS) has recently received much attention. This paper proposes an …
Intelligent Surface (RIS) has recently received much attention. This paper proposes an …
Semidefinite relaxations of truncated least-squares in robust rotation search: Tight or not
The rotation search problem aims to find a 3D rotation that best aligns a given number of
point pairs. To induce robustness against outliers for rotation search, prior work considers …
point pairs. To induce robustness against outliers for rotation search, prior work considers …
A survey of hidden convex optimization
Y **a - Journal of the Operations Research Society of China, 2020 - Springer
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SpringerLink Log in Menu Find a journal Publish with us Search Cart 1.Home 2.Journal of the …
SpringerLink Log in Menu Find a journal Publish with us Search Cart 1.Home 2.Journal of the …
RIS-Aided coexistence in wireless networks using angular information
Owing to the ability of reconfigurable intelligent surfaces (RISs) to control the propagation
environment in their vicinity, they have emerged as an appealing solution to enhance the …
environment in their vicinity, they have emerged as an appealing solution to enhance the …
Optimal estimation of sensor biases for asynchronous multi-sensor data fusion
An important step in a multi-sensor surveillance system is to estimate sensor biases from
their noisy asynchronous measurements. This estimation problem is computationally …
their noisy asynchronous measurements. This estimation problem is computationally …
An enhanced SDR based global algorithm for nonconvex complex quadratic programs with signal processing applications
In this paper, we consider a class of nonconvex complex quadratic programming (CQP)
problems, which find a broad spectrum of signal processing applications. By using the polar …
problems, which find a broad spectrum of signal processing applications. By using the polar …
New semidefinite relaxations for a class of complex quadratic programming problems
In this paper, we propose some new semidefinite relaxations for a class of nonconvex
complex quadratic programming problems, which widely appear in the areas of signal …
complex quadratic programming problems, which widely appear in the areas of signal …
IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming
RJ Zhang, XW Liu, YH Dai - Computational Optimization and Applications, 2024 - Springer
We propose an efficient primal-dual interior-point relaxation algorithm based on a smoothing
barrier augmented Lagrangian, called IPRSDP, for solving semidefinite programming …
barrier augmented Lagrangian, called IPRSDP, for solving semidefinite programming …
QoS-based beamforming and compression design for cooperative cellular networks via Lagrangian duality
This paper considers the quality-of-service (QoS)-based joint beamforming and
compression design problem in the downlink cooperative cellular network, where multiple …
compression design problem in the downlink cooperative cellular network, where multiple …