Integration of sensing and communication (ISAC) is pivotal for realizing the full spectrum of 6G networks, where aerial networks composed of unmanned aerial vehicles (UAVs) emerge as significant enhancers by establishing line-of-sight connections and increasing the coverage of terrestrial networks. Although network slicing can cater to diverse ISAC applications, strategies specifically for ISAC remain unexplored. This article proposes a lightweight scheme for network slicing in an aerial network with ISAC capability to maximize the service-level agreement (SLA) satisfaction ratio (SSR) by jointly optimizing the 3D placement and bandwidth resource allocation of UAVs. The scheme determines the 3D positions of the UAVs based on the locations of users served by high-priority slices and the SSRs of all slice requests. Then the scheme uses a minimum-weight matching algorithm for energy-efficient UAV path planning. Extensive simulations reveal our proposed scheme’s efficiencies in terms of resource allocation, cost savings, and energy savings.

中文翻译：

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用于集成传感和通信的切片感知空中网络：3D 布局和资源自适应分配


传感与通信集成 (ISAC) 对于实现全频谱 6G 网络至关重要，其中由无人机 (UAV) 组成的空中网络通过建立视距连接和增加地面网络的覆盖范围而成为重要的增强器。尽管网络切片可以满足不同的 ISAC 应用程序，但专门针对 ISAC 的策略仍未被探索。本文提出了一种具有 ISAC 能力的空中网络网络切片的轻量级方案，通过联合优化无人机的 3D 布局和带宽资源分配来最大化服务水平协议（SLA）满意度（SSR）。该方案根据高优先级切片服务的用户位置和所有切片请求的 SSR 确定无人机的 3D 位置。然后该方案采用最小权重匹配算法进行节能无人机路径规划。广泛的模拟揭示了我们提出的方案在资源分配、成本节约和能源节约方面的效率。