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 …
Active IRS-assisted integrated sensing and communication in C-RAN
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 …
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
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 …
Optimal solutions for joint beamforming and antenna selection: From branch and bound to graph neural imitation learning
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 …
its robust beamforming (RBF) version under imperfect channel state information (CSI). Such …
Globally optimal beamforming design for integrated sensing and communication systems
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 …
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
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 …
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 …
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 …
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
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 …
approaches find approximate solutions to this NP-hard problem via various heuristics, eg …
An entropy-regularized ADMM for binary quadratic programming
We propose an entropy regularized splitting model using low-rank factorization for solving
binary quadratic programming with linear inequality constraints. Different from the …
binary quadratic programming with linear inequality constraints. Different from the …