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.
Its optimal close-form solution can be derived asw ⋆ k = pP server k ˜ wk/∥˜ wk∥F , with ˜ wk = (δ2 kRk + σ2 c 2 IM)−1gk,∀k
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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.