A survey of recent advances in optimization methods for wireless communications

YF Liu, TH Chang, M Hong, Z Wu… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

Active IRS-assisted integrated sensing and communication in C-RAN

Y Zhang, J Chen, C Zhong, H Peng… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
This letter investigates an active intelligent reflecting surface (IRS)-aided integrated sensing
and communication (ISAC) system in the scenario of cloud radio access network (C-RAN). In …

A survey of advances in optimization methods for wireless communication system design

YF Liu, TH Chang, M Hong, Z Wu… - arXiv e …, 2024 - ui.adsabs.harvard.edu
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

Optimal solutions for joint beamforming and antenna selection: From branch and bound to graph neural imitation learning

S Shrestha, X Fu, M Hong - IEEE Transactions on Signal …, 2023 - ieeexplore.ieee.org
This work revisits the joint beamforming (BF) and antenna selection (AS) problem, as well as
its robust beamforming (RBF) version under imperfect channel state information (CSI). Such …

Globally optimal beamforming design for integrated sensing and communication systems

Z Wang, J Wu, YF Liu, F Liu - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
In this paper, we propose a multi-input multi-output beamforming transmit optimization
model for joint radar sensing and multi-user communications, where the design of the …

New semidefinite relaxations for a class of complex quadratic programming problems

Y Xu, C Lu, Z Deng, YF Liu - Journal of Global Optimization, 2023 - Springer
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 …

Learning-based branch-and-bound for non-convex complex modulus constrained problems with applications in wireless communications

Z Zhang, M Tao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
We consider a class of non-convex complex modulus constrained problems (CMCPs), which
has many important applications in signal processing for wireless communications …

Integrated multicast and unicast transmission in IRS-NOMA networks

Y Xie, Z Ding, X Dai - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
This paper considers an integrated multicast and unicast downlink communication system
using the non-orthogonal multiple access (NOMA) scheme assisted by an intelligent …

Towards efficient and optimal joint beamforming and antenna selection: A machine learning approach

S Shrestha, X Fu, M Hong - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
This work revisits the joint transmit beamforming and antenna selection problem. Existing
approaches find approximate solutions to this NP-hard problem via various heuristics, eg …

An entropy-regularized ADMM for binary quadratic programming

H Liu, K Deng, H Liu, Z Wen - Journal of Global Optimization, 2023 - Springer
We propose an entropy regularized splitting model using low-rank factorization for solving
binary quadratic programming with linear inequality constraints. Different from the …