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

arXiv: https://arxiv.org/abs/2501.04480 · HTML: https://mlsanity.com/paper/2501.04480/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 26 references that are in the map.
- First posted on arXiv 8 Jan 2025.

## Builds on (most cited first, 8 of 8)

- [Image Generation from Scene Graphs](https://mlsanity.com/paper/1804.01622/) (2018)
- [Task-Oriented Multi-User Semantic Communications for VQA Task](https://mlsanity.com/paper/2108.07357/) (2021)
- [Will Metaverse be NextG Internet? Vision, Hype, and Reality](https://mlsanity.com/paper/2201.12894/) (2022)
- [Blockchain for the Metaverse: A Review](https://mlsanity.com/paper/2203.09738/) (2022)
- [Semantic-Aware Sensing Information Transmission for Metaverse: A Contest Theoretic Approach](https://mlsanity.com/paper/2211.12783/) (2022)
- [A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data](https://mlsanity.com/paper/2111.00431/) (2021)
- [Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design](https://mlsanity.com/paper/2212.06463/) (2022)
- [A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection](https://mlsanity.com/paper/2305.18481/) (2023)

## Abstract (arXiv)

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.