AI 中文总结
本文针对可持续空-地一体化覆盖网络展开研究，提出ISCC驱动架构，引入多维可持续性度量系统，回顾使能技术，通过实际试验平台验证，实现了功耗降低20%且覆盖概率超90%，为未来绿色网络提供了可持续AGICN的可行方案。
AI 中文摘要
第六代（6G）网络和低空经济的迅速兴起加速了无线基础设施向空-地一体化覆盖网络（AGICN）的演进，其无缝融合了地面和空中通信资源。然而，现有AGICN研究主要集中在覆盖增强，而忽视了可持续性。追求可持续的AGICN由于异构空-地段的多维资源耦合带来了新挑战。鉴于此，本文对可持续AGICN进行了全面的综述和教程，旨在在低空经济中平衡覆盖能力与碳效率。提出了一种由集成传感、通信和计算（ISCC）驱动的架构，通过闭环控制实现动态资源编排。引入了一个多维可持续性度量系统，涵盖运营效率、面向任务性能和全生命周期碳排放，以量化能源和碳足迹。回顾了使能技术，包括人工智能、混合预编码、集成传感与通信以及同时无线信息与功率传输，并讨论了它们融入ISCC框架以在保持强大覆盖的同时最小化能耗。在实际试验平台上的实验结果表明，功耗降低了20%，同时实现了超过90%的覆盖概率，突出了可持续AGICN对未来绿色网络的可行性。
英文摘要
The rapid emergence of sixth-generation (6G) networks and the low-altitude economy has accelerated the evolution of wireless infrastructures toward air-ground integrated coverage networks (AGICNs), which seamlessly fuse terrestrial and aerial communication resources. However, existing AGICN studies primarily focus on coverage enhancement, while ignoring sustainability. Pursuing sustainable AGICNs introduces new challenges due to the multidimensional resource coupling across heterogeneous air-ground segments. In view of this, this paper presents a comprehensive survey and tutorial on sustainable AGICNs, aiming to balance coverage capacity with carbon efficiency in low-altitude economies. An integrated sensing, communication, and computation (ISCC)-driven architecture, which enables dynamic resource orchestration through closed-loop control, is proposed. We thus introduce a multi-dimensional sustainability metric system, which covers operational efficiency, task-oriented performance, and full lifecycle carbon emissions, to quantify energy and carbon footprints. We review enabling technologies, including artificial intelligence, hybrid precoding, integrated sensing and communication, and simultaneous wireless information and power transfer, and discuss their integration into the ISCC framework to minimize energy consumption while maintaining robust coverage. Experimental results on a real-world testbed demonstrate a 20% reduction in power consumption while achieving over 90% coverage probability, highlighting the feasibility of sustainable AGICNs for future green networks.
Comments20 pages with 6 figures, submitted to IEEE Transactions on Cognitive Communications and Networking (TCCN)
