Unequal Error Protection for Digital Semantic Communication with Channel Coding
This paper proposes two novel unequal error protection frameworks for digital semantic communication that leverage learned bit-flip probabilities to assign heterogeneous reliability levels, demonstrating that partitioning semantic bits into short blocks with tailored channel codes significantly outperforms conventional equal-protection schemes in both task performance and transmission efficiency.