most citedMulti-objective Aerial Collaborative Secure Communication Optimization via Generative Diffusion Model-enabled Deep Reinforcement Learning

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2025

Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking

Zhang Liu, Dusit Niyato, Jiacheng Wang +4

Lyapunov optimization theory has recently emerged as a powerful mathematical framework for solving complex stochastic optimization problems by transforming long-term objectives int…

cs.CR2025

Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study

Tianhao Liu, Jiqiang Liu, Tao Zhang +5

Ensuring end-to-end cross-layer communication security in military networks by selecting covert schemes between nodes is a key solution for military communication security. With th…

cs.NI20251 cited

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method

Ruichen Zhang, Changyuan Zhao, Hongyang Du +5

This paper investigates adaptive transmission strategies in embodied AI-enhanced vehicular networks by integrating large language models (LLMs) for semantic information extraction…

cs.NI2024

Generative AI for Energy Harvesting Internet of Things Network: Fundamental, Applications, and Opportunities

Wenwen Xie, Geng Sun, Jiahui Li +4

Internet of Things (IoT) devices are typically powered by small-sized batteries with limited energy storage capacity, requiring regular replacement or recharging. To reduce costs a…

cs.NI20241 cited

Multi-objective Aerial Collaborative Secure Communication Optimization via Generative Diffusion Model-enabled Deep Reinforcement Learning

Chuang Zhang, Geng Sun, Jiahui Li +4

Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for enhancing coverage and functionality of wireless networks. However, incorporating UAVs…