[2501.04480] Research on environment perception and behavior prediction of intelligent UAV based on semantic communication

Computer Science > Artificial Intelligence arXiv:2501.04480 (cs) This paper has been withdrawn by Kechong Ren [Submitted on 8 Jan 2025 (v1), last revised 26 Mar 2026 (this version, v2)] Title:Research on environment perception and behavior prediction of intelligent UAV based on semantic communication Authors:Kechong Ren, Li Gao, Qi Guan View a PDF of the paper titled Research on environment perception and behavior prediction of intelligent UAV based on semantic communication, by Kechong Ren and Li Gao and Qi Guan No PDF available, click to view other formats Abstract:The convergence of drone delivery systems, virtual worlds, and blockchain has transformed logistics and supply chain management, providing a fast, and environmentally friendly alternative to traditional ground transportation methods;Provide users with a real-world experience, virtual service providers need to collect up-to-the-minute delivery information from edge devices. To address this challenge, 1) a reinforcement learning approach is introduced to enable drones with fast training capabilities and the ability to autonomously adapt to new virtual scenarios for effective resource allocation.2) A semantic communication framework for meta-universes is proposed, which utilizes the extraction of semantic information to reduce the communication cost and incentivize the transmission of information for meta-universe services.3) In order to ensure that user information security, a lightweight authentication and key ...