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.

翻译：无人机配送系统、虚拟世界与区块链的融合革新了物流与供应链管理，提供了一种比传统地面运输更快速环保的替代方案；为使虚拟服务提供商能够为用户提供实时体验，需从边缘设备采集最新配送信息。针对这一挑战，1) 引入强化学习方法使无人机具备快速训练能力及对虚拟场景的自主适应能力，实现有效资源分配；2) 提出面向元宇宙的语义通信框架，通过提取语义信息降低通信成本并激励元宇宙服务的信息传输；3) 为保障用户信息安全，引入区块链技术在无人机与用户之间设计轻量级认证与密钥协商方案。实验结果显示，无人机自适应性能提升约35%，随基站数量增加本地卸载率可达90%。本文提出的语义通信系统与交叉熵基准模型进行对比，引入区块链技术后，不同无人机数量下的交易吞吐量保持稳定值。