CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems
Integrated sensing, communication, and computation (ISCC) provides a promising framework for indoor human-centric applications. In these applications, short-term human pose prediction facilitates continuous human tracking and resource allocation in advance. In this paper, we propose a Cramer-Rao bound (CRB) guided resource allocation framework for indoor mmWave ISCC systems to minimize the human pose prediction error under communication, latency, and energy constraints. We characterize the impact of sensing power on range-estimation uncertainty and point-cloud perturbation based on the CRB. To capture the impact of computation resources on prediction performance, we adopt an adaptive-dept...
| Authors | Zhonghao Liu, Yahao Ding, Yinchao Yang et al. |
|---|---|
| Primary category | cs.IT |
| Published | 28 May 2026 |
| Last updated at source | 28 May 2026 |
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