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面向S^2C^2I集成高空平台:架构、跨职能设计、评估与部署视角

High-Altitude Platforms Beyond Connectivity: A Survey of Integrated Sensing, Storage, Communication, Computing, and Intelligence

Haoxiang Luo, Mohamed-Slim Alouini

arXiv 2608.18587首次发表:更新:

AI 中文总结

本综述聚焦S^2C^2I集成高空平台,阐述其架构、技术、评估方法与部署,通过应急案例验证其服务优势,指明相关研究机遇,提供从设计到部署的路线图。

AI 中文摘要

高空平台(HAPs)正成为空天地一体化网络(SAGINs)中新兴的持久中间层基础设施,在覆盖范围、延迟、续航能力与部署灵活性之间提供了良好的平衡。然而,它们的作用已从通信中继扩展到联合提供感知、存储、通信、计算与智能(S^2C^2I)服务。本综述从以HAP为中心的视角阐述S^2C^2I集成。首先回顾HAP基础、平台类别及其在SAGINs中的主要角色,包括广域接入、中继、回传、边缘服务、低空空中协同及跨层编排。随后构建了一种集成架构,涵盖多平面连通性、有效载荷功能拆分,以及具有分层数据、控制、计算与存储环路的云-边-HAP空间连续体。系统研究了支撑技术,包括异构射频、毫米波、太赫兹、自由空间光及混合链路;感知有效载荷与集成感知通信;机载计算;存储与缓存;以及基于AI的编排。还综合了标准化进展、开源软件与数据集、测试平台、现场证据,以及从组件验证到任务级效能的四级评估方法。一项应急响应案例研究表明,联合S^2C^2I编排可大幅提升联合服务可用性,同时减少馈线链路流量。最后,明确了智能体AI、可信自主、面向目标的语义操作与数字孪生,以及可持续、可认证、开源HAP原生系统等研究机遇。该综合研究提供了从平台设计到全网部署的连贯路线图。

英文摘要

High-altitude platforms (HAPs) are emerging as persistent middle-layer infrastructures for space-air-ground integrated networks (SAGINs), offering a favorable compromise among coverage, latency, endurance, and deployment flexibility. Their role, however, is evolving beyond communication relaying toward the joint provision of sensing, storage, communication, computing, and intelligence (S^2C^2I). This survey presents a unified HAP-centric perspective on S^2C^2I integration. We first review HAP fundamentals, platform categories, and their principal roles in SAGINs, including wide-area access, relaying, backhaul, edge service, low-altitude aerial coordination, and cross-layer orchestration. We then develop an integrated architecture spanning multi-plane connectivity, payload functional splits, and a cloud-edge-HAP space continuum with hierarchical data, control, computing, and storage loops. The enabling technologies are systematically examined, covering heterogeneous RF, millimeter-wave, terahertz, free-space optical, and hybrid links; sensing payloads and integrated sensing and communication; onboard computing; storage and caching; and AI-based orchestration. We further synthesize standardization progress, open software and datasets, testbeds, field evidence, and a four-level evaluation methodology ranging from component validation to mission-level effectiveness. An emergency-response case study demonstrates that joint S^2C^2I orchestration substantially improves conjunctive service availability while reducing feeder-link traffic. Finally, we identify research opportunities in agentic AI, trustworthy autonomy, goal-oriented semantic operation and digital twins, and sustainable, certifiable, and open HAP-native systems. The resulting synthesis provides a coherent roadmap from platform design to network-wide deployment.

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