AI RESEARCH
CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems
arXiv CS.LG
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ArXi:2605.29939v1 Announce Type: cross 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.