Goal-Oriented Resource Allocation and Scheduling for Integrated Sensing and Communications
Résumé
This paper proposes a goal-oriented design framework for Integrated Sensing and Communications (ISAC) at the network layer. Devices equipped with dual-functional radar and communication (DFRC) transceivers that jointly perform a sensing task and carry data traffic are considered. The goal of the sensing application is to maximize the classification accuracy, while the network aims to preserve throughput for the enhanced Mobile Broadband (eMBB) service and to respect energy constraints. A cross-layer optimization problem that adapts the lower layer parameters (sensing power and scheduling policy) for maximizing the classification accuracy, while respecting constraints related to the available resources (eMBB throughput, device's maximal power, and total energy), is formulated. A tractable relaxation of the problem is proposed, yielding an approximate optimal policy that is computable by solving successive convex optimization problems. Our numerical experiments, conducted both on a synthetic Gaussian mixture dataset and on a radar simulation dataset, show the superiority of our goal-oriented scheme policy to classical ISAC schemes.
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