Covert rate optimization of millimeter wave full-duplex communications
In this paper, we consider the problem of full-duplex covert millimeter wave (mmWave)
communications, where a mmWave transmitter (Alice) sends information signals to its …
communications, where a mmWave transmitter (Alice) sends information signals to its …
Hybrid NOMA-FDMA assisted dual computation offloading: A latency minimization approach
Edge computing has been considered as a promising solution for enabling computation-
intensive yet latency-sensitive applications at resource-constrained wireless devices (WDs) …
intensive yet latency-sensitive applications at resource-constrained wireless devices (WDs) …
Scalable subspace methods for derivative-free nonlinear least-squares optimization
We introduce a general framework for large-scale model-based derivative-free optimization
based on iterative minimization within random subspaces. We present a probabilistic worst …
based on iterative minimization within random subspaces. We present a probabilistic worst …
Outage probability and finite-SNR DMT analysis for IRS-aided MIMO systems: How large IRSs need to be?
Intelligent reflecting surfaces (IRSs) are promising enablers for high-capacity wireless
communication systems by constructing favorable channels between the transmitter and …
communication systems by constructing favorable channels between the transmitter and …
Efficient computation offloading and resource allocation scheme for opportunistic access fog-cloud computing networks
WB Sun, J **e, X Yang, L Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fog-cloud computing is one of cores techniques in wireless networks, where fog and cloud
nodes provide high-speed and large-scale computing services to mobile users through a …
nodes provide high-speed and large-scale computing services to mobile users through a …
On random embeddings and their application to optimisation
Z Shao - arxiv preprint arxiv:2206.03371, 2022 - arxiv.org
Random embeddings project high-dimensional spaces to low-dimensional ones; they are
careful constructions which allow the approximate preservation of key properties, such as …
careful constructions which allow the approximate preservation of key properties, such as …
QoS-aware precoder optimization for radar sensing and multiuser communications under per-antenna power constraints
In this work, we concentrate on designing the precoder for the multiple-input multiple-output
(MIMO) dual functional radar-communication (DFRC) system, where the dual-functional …
(MIMO) dual functional radar-communication (DFRC) system, where the dual-functional …
RIS-assisted UAV secure communications with artificial noise-aware trajectory design against multiple colluding curious users
In this paper, we propose a secure unmanned aerial vehicle (UAV) communication system
with the assistance of a reconfigurable intelligent surface (RIS), where the design of the UAV …
with the assistance of a reconfigurable intelligent surface (RIS), where the design of the UAV …
Randomised subspace methods for non-convex optimization, with applications to nonlinear least-squares
We propose a general random subspace framework for unconstrained nonconvex
optimization problems that requires a weak probabilistic assumption on the subspace …
optimization problems that requires a weak probabilistic assumption on the subspace …
Joint graph learning and blind separation of smooth graph signals using minimization of mutual information and Laplacian quadratic forms
The smoothness of graph signals has found desirable real applications for processing
irregular (graph-based) signals. When the latent sources of the mixtures provided to us as …
irregular (graph-based) signals. When the latent sources of the mixtures provided to us as …