关于车辆互联网中的语义通信的调查
Sha Ye1, Qiong Wu1, Pingyi Fan2
1School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China.
Entropy (Basel, Switzerland)
|April 26, 2025
概括
语义通信为汽车互联网 (IoV) 提供了创新的解决方案,解决了频谱稀缺性和延迟问题. 这项技术通过提高自动驾驶和交通管理的数据传输效率来增强智能交通系统.
科学领域:
- 智能运输系统 智能运输系统
- 无线通信无线通信
- 信息理论 信息理论
背景情况:
- 车辆互联网 (IoV) 对于智能交通至关重要,它可以实现车辆与一切的通信.
- 传统的IoV通信面临着诸如频谱稀缺和由于新应用的高延迟等挑战.
- 语义通信通过关注信息含义而不是原始数据,提供了一个范式转变.
研究的目的:
- 系统地审查 IoV 中的最先进的语义通信技术.
- 详细介绍 IoV 和语义通信的技术背景.
- 讨论关键技术,应用,挑战,以及在 IoV 中语义通信的未来方向.
主要方法:
- 系统的文献审查的语义通信在IOV.
- 制定IoV和语义通信的技术基础.
- 讨论关键技术:语义信息提取,架构,资源配置.
- 分析交通感知,驾驶决策,服务优化和交通管理方面的案例研究.
主要成果:
- 语义通信有效地减少了冗余的数据传输,并改善了 IoV 中的频谱利用.
- 在诸如交通环境感知,智能驾驶决策和交通管理等场景中表现出有效性.
- 确定了关键技术及其在 IoV 中的应用.
结论:
- 语义沟通是一个有希望的方法来克服 IoV 中的沟通挑战.
- 用先进技术应对现有挑战对于广泛采用至关重要.
- 语义通信在推进智能交通系统方面具有广泛的应用前景.
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