Jingjing Wang

From general-purpose LLM to specialized beamforming for low-altitude ISAC networks: a LoRA-based multi-expert framework

Local Frame-Enhanced Deep Reinforcement Learning for Multiagent Pursuit-Evasion Game

The multiagent pursuit-evasion game (PEG) with obstacle avoidance remains a challenging cooperative-competitive problem. A key difficulty is achieving effective cooperation and obstacle avoidance in nonstationary environments. Previous studies typically assume that agents can automatically obtain accurate obstacle posi...

6G Space-Air-Ground-Sea Integrated Networks: Outage and Ergodic Capacity Analysis

The evolution of sixth-generation (6G) networks increasingly demands seamless and reliable connectivity across heterogeneous and geographically dispersed environments, with maritime regions remaining a major challenge due to vast coverage areas, limited terrestrial infrastructure, and complex propagation conditions. In...

Spatial-Aware Graph Attention Agentic AI for Embodied UAV Edge Computing Networks

The evolution of uncrewed aerial vehicles (UAVs) into embodied intelligent agents in the low-altitude economy is reshaping edge computing networks. However, the high mobility of UAVs induces severe topology dynamics, limiting the efficacy of traditional fully connected multiagent reinforcement learning because of dimen...

6G Space–Air–Sea Integrated Networks: QoS-Aware Design and Optimization

The evolution of sixth-generation (6G) networks increasingly necessitates seamless and on-demand coverage across heterogeneous environments, particularly maritime regions where traditional terrestrial infrastructure is limited. In this paper, we aim to enhance the quality of service (QoS) for maritime users in the 6G s...