用6G+LLM提升战车集群通信与协同效率
A Communication-Centric 6G-LLM Architecture for Scalable Tactical Autonomous Defense Vehicle Networks
- 构建分层通信架构，融合边缘LLM与语义通信
- 30辆编队下延迟降75.2%，任务成功率提至82.9%
- 适合研究6G智能军事网络的学者与工程师
人工智能与新兴6G网络的融合为战术自主车辆系统的可扩展协同带来了新机遇。本文提出一种以通信为中心的分层架构，用于战术自主防御车辆网络（TADVNs），将边缘辅助的大语言模型（LLM）推理与6G支持的连接及语义通信相集成。该框架旨在提升协同效率、降低通信开销，并增强在大规模车队运行下的延迟鲁棒性。与依赖结构化特征处理和规则驱动协同的传统任务特定AI流水线不同，该方法在分层边缘-云通信架构中融入语义抽象与上下文感知决策支持。通过蒙特卡洛模拟，在5至30辆车辆规模下评估了通信与协同性能，结果表明：在30辆车规模时，6G-LLM配置相比基于5G的传统AI基线，延迟降低75.2%（29.1毫秒对117.5毫秒），任务成功率提升68.7个百分点（82.9%对14.2%），通信开销减少88.6%。这些发现证实，当语义推理与低延迟6G连接结合时，能显著提升协同与通信表现。
原文摘要 · Abstract (English)
The integration of Artificial Intelligence (AI) and emerging 6G networks introduces new opportunities for scalable coordination in tactical autonomous vehicle systems. This paper proposes a communication-centric hierarchical architecture for Tactical Autonomous Defense Vehicle Networks (TADVNs) that models the integration of edge-assisted Large Language Model (LLM) reasoning with 6G-enabled connectivity and semantic communication. The framework is designed to improve coordination efficiency, reduce communication overhead, and enhance latency resilience under increasing fleet-scale operation. Unlike conventional task-specific AI pipelines that rely on structured feature processing and rule-based coordination, the proposed approach incorporates semantic abstraction and context-aware decision support within a layered edge-cloud communication architecture. We evaluate communication and coordination performance via Monte Carlo simulations across fleet sizes of 5-30 vehicles under contested network conditions. Results indicate that at a 30-vehicle scale, the 6G-LLM configuration achieves 75.2% latency reduction (29.1 ms vs. 117.5 ms), a 68.7 percentage point increase in mission success rate (82.9% vs. 14.2%), and an 88.6% reduction in communication overhead compared to a 5G-based conventional AI baseline. These findings demonstrate measurable benefits in coordination and communication when semantic reasoning is combined with low-latency 6G connectivity.
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