智能无人机通过语义通信与区块链提升环境感知与行为预测能力。
Research on environment perception and behavior prediction of intelligent UAV based on semantic communication
- 用强化学习让无人机快速适应新场景，实现资源自主分配。
- 语义通信降低90%通信开销，提升虚拟世界服务效率。
- 结合区块链保障用户安全，支持多无人机稳定交易吞吐。
无人机配送系统、虚拟世界与区块链的融合正重塑物流与供应链管理，为用户提供真实世界体验，要求虚拟服务商从边缘设备获取实时配送信息。为此，本文提出：1）一种强化学习方法，使无人机具备快速训练和自主适应新虚拟场景的能力，实现高效资源分配；2）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，并激励信息传输；3）引入区块链技术设计轻量级身份认证与密钥协商方案，保障用户信息安全。实验表明，无人机适应性能提升约35%，基站数量增加时本地卸载率可达90%。所提语义通信系统相较交叉熵基线模型表现更优；区块链确保不同数量无人机下交易吞吐量保持稳定。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。