Integrated Sensing and Edge AI: Quantifying the Fundamental Performance Gains from View-and-Channel Aggregation

The end-to-end sensing uncertainty in an integrated sensing and edge AI system diminishes exponentially with the number of sensor views, where the exponential rate is proportional to the global discriminant gain. This exponential scaling is retained even with channel distortion, but the rate is reduced by a linear factor representing the channel-induced discriminant loss.