Characterize importance distributions conducive to SI-UEP

Determine the properties of the semantic feature importance distribution that are conducive to effective semantic importance-aware unequal error protection (SI-UEP) in wireless semantic communication systems, and identify which forms of importance differentiation best support SI-UEP performance.

Background

Semantic communications aim to transmit task-relevant information efficiently, where features contribute unequally to downstream tasks. Semantic importance-aware unequal error protection (SI-UEP) seeks to leverage these differences by allocating transmission resources based on feature importance.

Existing approaches typically rely on post-training importance weights tied to specific architectures and often yield near-uniform importance distributions, limiting differentiation and creating a bottleneck for SI-UEP. The paper explicitly notes that it remains unresolved which importance distribution characteristics are most beneficial for SI-UEP, motivating proactive restructuring strategies.