Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks

no code implementations • 2 Oct 2024 • Yue Zhong, Jiawen Kang, Jinbo Wen, Dongdong Ye, Jiangtian Nie, Dusit Niyato, Xiaozheng Gao, Shengli Xie

Embodied twins are digital models of these embodied agents, with various embodied AI twins for intelligent applications in cyberspace.

Autonomous Driving Deep Reinforcement Learning

6D Movable Antenna Enhanced Interference Mitigation for Cellular-Connected UAV Communications

no code implementations • 20 Sep 2024 • Tianshi Ren, Xianchao Zhang, Lipeng Zhu, Wenyan Ma, Xiaozheng Gao, Rui Zhang

Cellular-connected unmanned aerial vehicle (UAV) communications is an enabling technology to transmit control signaling or payload data for UAVs through cellular networks.

Position

Few-Shot Recognition and Classification Framework for Jamming Signal: A CGAN-Based Fusion CNN Approach

no code implementations • 9 Nov 2023 • Xuhui Ding, Yue Zhang, Gaoyang Li, Xiaozheng Gao, Neng Ye, Dusit Niyato, Kai Yang

Subject to intricate environmental variables, the precise classification of jamming signals holds paramount significance in the effective implementation of anti-jamming strategies within communication systems.

Generative Adversarial Network