Wan-Ming Hao

Securing Cognitive NOMA Networks via Artificial Noise-Embedded Network Coding

Sensing-Based Two-Stage Transmission Framework for Near-Field mmWave Covert Communications

This letter investigates a two-stage near-field covert communication for wideband millimeter-wave (mmWave) systems. During the sensing stage, we propose a novel sensing scheme exploiting controllable near-field beam squint, enabled by phase shifters (PSs) and true-time delays (TTDs), to acquire the channel state inform...

Deep Reinforcement Learning for Semantic Secure Energy Efficiency Optimization in IRS-Assisted UAV Communications

The integration of semantic communication with unmanned aerial vehicles (UAVs) and intelligent reflecting surfaces (IRSs) offers a promising approach for next-generation wireless systems. However, jointly optimizing semantic reliability, physical-layer security, and energy efficiency remains challenging. This paper inv...

C2fDeploy: Function-Preserving Graph Rewriting to Eliminate Runtime Split Overhead on FPGA Deep Learning Processing Units

Efficient deployment of neural-network detectors on field-programmable gate array (FPGA) accelerators depends not only on model complexity but also on compiler-visible graph structure. On deep learning processing unit (DPU) platforms, unsupported operators can fragment execution between accelerator and host execution d...

Energy Efficiency Maximization for Secure RIS-Assisted Integrated Sensing and Wireless Power Transfer in IoT Networks

This paper investigates an intelligent reflecting surface (RIS)-assisted integrated sensing and communication (ISAC) system for Internet of Things (IoT) deployments, where a large number of low-cost and energy-constrained devices require reliable connectivity, environment awareness, and sustainable powering. We conside...