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

2025-01-08 13:03:34
Kechong Ren, Li Gao, Qi Guan

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.

Abstract (translated)

无人机交付系统、虚拟世界和区块链技术的融合已经改变了物流和供应链管理,提供了一种快速且环保的传统地面运输方法替代方案;为了向用户提供真实的体验,虚拟服务提供商需要从边缘设备收集实时的递送信息。为了解决这一挑战,提出了以下几项措施: 1. 通过引入强化学习方法来使无人机具备快速训练能力和自主适应新虚拟场景的能力,从而有效分配资源。 2. 提出了一个用于元宇宙的语义通信框架,该框架利用语义信息提取减少通信成本,并激励为元宇宙服务的信息传输。 3. 为了确保用户信息安全,通过引入区块链技术设计了一种轻量级的身份验证和密钥协商方案,以实现无人机与用户之间的安全连接。 在我们的实验中,无人机的适应性能提高了约35%,随着基站数量的增加,本地卸载率可达到90%。本文提出的语义通信系统与交叉熵基线模型进行了比较,并且引入区块链技术后,在不同数量的无人机情况下交易吞吐量保持在一个稳定的数值水平。

URL

https://arxiv.org/abs/2501.04480

PDF

https://arxiv.org/pdf/2501.04480.pdf


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