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

arXiv cs.RO / 3/27/2026

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Key Points

The paper proposes an intelligent UAV framework for meta-universe-driven logistics that combines reinforcement learning for fast adaptation to new virtual scenarios and improved resource allocation.
It introduces a semantic communication framework to extract and transmit semantic information, reducing communication cost and encouraging efficient information sharing for meta-universe services.
To address user information security, it designs a lightweight authentication and key agreement scheme using blockchain between the drone and users.
Experimental results indicate about a 35% improvement in drone adaptation performance and up to 90% local offloading rate as the number of base stations increases.
The work reports that semantic communication performance is compared against a Cross-Entropy baseline, and blockchain integration helps maintain stable transaction throughput across varying numbers of drones.

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 agreement scheme is designed between the drone and the user by introducing blockchain technology. In our experiments, the drone adaptation performance is improved by about 35\%, and the local offloading rate can reach 90\% with the increase of the number of base stations. The semantic communication system proposed in this paper is compared with the Cross Entropy baseline model. Introducing blockchain technology the throughput of the transaction is maintained at a stable value with different number of drones.