Zhiyong Feng

Communication-infrastructure-enabled ISAC for low-altitude sensing

As a core infrastructure of modern information society, cellular networks have long supported terrestrial communications and are now being extended to low-altitude connectivity with the growth of the low-altitude economy. However, the increasing number of aerial vehicles poses new challenges to airspace supervision and...

Dynamic Measurement-Pilot Allocation for Low-Earth-Orbit Satellite Integrated Communication and Navigation

Low Earth Orbit (LEO) satellite systems have potential to support integrated communication and navigation (ICaN) services. However, their rapid orbital motion makes resource allocation more difficult than in terrestrial or quasistatic satellite scenarios. In LEO-ICaN systems, the satelliteground channel quality and pos...

Deep Reinforcement Learning for Joint Communication and Control Design in Wireless Networked Control Systems

This paper investigates a wireless networked control system where a base station (BS) controller coordinates multiple nonlinear dynamic subsystems over wireless fading channels. In the considered setup, sensors first upload state observations to the BS, which then processes the received information to generate control...

Joint Optimization for Federated Learning and Transmission over Unreliable Wireless Networks with Heterogeneous Data

In wireless federated learning (FL), data heterogeneity and multiple local updates induce client drift, degrading model convergence. It is further affected by unreliable wireless links, as transmission errors may invalidate model updates. To address these challenges, we propose a federated random walk averaging (FedRW)...

Direct Satellite-to-Device Communications: From Cooperative Task Offloading to Noncooperative Access Monitoring

A versatile DS2D system that supports cooperative task offloading and non-cooperative access monitoring, and Transformer-based models to enable blind signal detection and automatic modulation classification (AMC) are proposed.

Mixture-of-Experts for Hybrid Channel Prediction