Derives closed-form DG-optimal and MSE-optimal transceiver designs for ISAC under compress-and-estimate framework, with numerical results showing DG-optimal design is more power-efficient at low SNR by selective feature allocation.
Task-oriented over-the-air computation for multi-device edge AI,
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Inference-Optimal ISAC via Task-Oriented Feature Transmission and Power Allocation
Derives closed-form DG-optimal and MSE-optimal transceiver designs for ISAC under compress-and-estimate framework, with numerical results showing DG-optimal design is more power-efficient at low SNR by selective feature allocation.
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