12 citations · 28 across the 6 of their papers we have counts for
6 papers
Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL
Chen Shang, Jiadong Yu, Dinh Thai Hoang
Integrated sensing and communication (ISAC) is emerging as a key enabler for vehicle-to-everything (V2X) systems. However, designing efficient beamforming schemes for ISAC signals…
Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality
Jiadong Yu, Ahmad Alhilal, Tailin Zhou +2
Metaverse applications such as virtual reality (VR) content streaming, require optimal resource allocation strategies for mobile edge computing (MEC) to ensure a high-quality user…
Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-cell Mobile Edge Computing
Wenhan Xu, Jiadong Yu, Yuan Wu +1
The explosive development of the Internet of Things (IoT) has led to increased interest in mobile edge computing (MEC), which provides computational resources at network edges to a…
IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning
Jiadong Yu, Yang Li, Xiaolan Liu +3
By employing powerful edge servers for data processing, mobile edge computing (MEC) has been recognized as a promising technology to support emerging computation-intensive applicat…
Distributed Intelligence in Wireless Networks
Xiaolan Liu, Jiadong Yu, Yuanwei Liu +4
The cloud-based solutions are becoming inefficient due to considerably large time delays, high power consumption, security and privacy concerns caused by billions of connected wire…
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing
Xiaolan Liu, Jiadong Yu, Yue Gao
To support popular Internet of Things (IoT) applications such as virtual reality, mobile games and wearable devices, edge computing provides a front-end distributed computing arche…