5 papers
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access
Yinyu Wu, Xuhui Zhang, Yingchao Jiao +5
Intelligent reflecting surface (IRS)-assisted mobile edge computing (MEC) systems have shown notable improvements in efficiency, such as reduced latency, higher data rates, and bet…
Latency Minimization for Multi-AAV-Enabled ISCC Systems with Movable Antenna
Yiyang Chen, Wenchao Liu, Chunjie Wang +3
This paper investigates an autonomous aerial vehicle (AAV)-enabled integrated sensing, communication, and computation system, with a particular focus on integrating movable antenna…
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning
Yingchao Jiao, Xuhui Zhang, Wenchao Liu +5
Unmanned aerial vehicles (UAVs) enabled Internet of things (IoT) systems have become an important part of future wireless communications. To achieve higher communication rate, the…
Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model
Runtao Ren, Yinyu Wu, Xuhui Zhang +4
The rapid evolution of mobile edge computing (MEC) has introduced significant challenges in optimizing resource allocation in highly dynamic wireless communication systems, in whic…
Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
Yinyu Wu, Xuhui Zhang, Jinke Ren +3
Recently, the integration of mobile edge computing (MEC) and generative artificial intelligence (GAI) technology has given rise to a new area called mobile edge generation and comp…