论文标题
在6G感知网络中将其作为服务：ISAC资源分配的统一框架
Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation
论文作者
论文摘要
在即将到来的下一代（5G加速和6G）无线网络中，将其视为服务将比以往任何时候都发挥更重要的作用。最近，提出了感知网络的概念，作为一种范式转移，可以同时提供感应和通信（S＆C）服务。这种类型的技术通常称为集成传感和通信（ISAC）。在本文中，我们提出了感知服务质量（QoS）的概念，该概念在不同的应用方面。具体而言，使用检测的概率，用于参数估计的CRAMER-RAO结合（CRB）和移动目标指示的后CRB分别用于测量检测，定位和跟踪的传感QoS。然后，我们为ISAC资源分配建立了一个统一的框架，其中考虑了上述传感服务的公平性和全面优化标准。拟议的方案可以根据两个S＆C QOSS灵活分配有限的功率和带宽资源。最后，我们通过数值模拟研究了不同资源分配方案中S＆C服务之间的性能权衡。
In the upcoming next-generation (5G-Advanced and 6G) wireless networks, sensing as a service will play a more important role than ever before. Recently, the concept of perceptive network is proposed as a paradigm shift that provides sensing and communication (S&C) services simultaneously. This type of technology is typically referred to as Integrated Sensing and Communications (ISAC). In this paper, we propose the concept of sensing quality of service (QoS) in terms of diverse applications. Specifically, the probability of detection, the Cramer-Rao bound (CRB) for parameter estimation and the posterior CRB for moving target indication are employed to measure the sensing QoS for detection, localization, and tracking, respectively. Then, we establish a unified framework for ISAC resource allocation, where the fairness and the comprehensiveness optimization criteria are considered for the aforementioned sensing services. The proposed schemes can flexibly allocate the limited power and bandwidth resources according to both S&C QoSs. Finally, we study the performance trade-off between S&C services in different resource allocation schemes by numerical simulations.
