Derives explicit discriminant gain as a function of precoding coefficients in ISCC networks and proposes a precoding algorithm that improves sensing accuracy by up to 15% on synthetic data and 10% on real data in low-SNR simulations.
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
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Edge AI Inference in ISCC Networks: Sensing Accuracy Analysis and Precoding Design
Derives explicit discriminant gain as a function of precoding coefficients in ISCC networks and proposes a precoding algorithm that improves sensing accuracy by up to 15% on synthetic data and 10% on real data in low-SNR simulations.