ITITJun 15

Mixed Block Markov Superposition Transmission Codes

arXiv:2606.168318.3
Predicted impact top 37% in IT · last 90 daysOriginality Incremental advance
AI Analysis

For coding theorists, this provides a flexible framework that balances error propagation and error floors, improving upon existing BMST variants.

Mixed BMST codes combine recursive and non-recursive components to improve frame error rate (FER) and bit error rate (BER) performance with lower memory requirements compared to recursive BMST codes.

Block Markov superposition transmission (BMST) codes provide a flexible framework for constructing codes with near-capacity performance and low-complexity sliding-window decoding. However, existing BMST variants show contrasting performance limitations: recursive BMST (rBMST) codes suffer from error propagation but avoid high error floors, whereas non-recursive BMST codes exhibit the opposite behavior. Motivated by these complementary characteristics, we combine recursive and non-recursive components through parallel and serial concatenation, yielding mixed BMST (mBMST) codes. The proposed framework subsumes existing BMST variants and enables new BMST structures. Simulations show that these structures improve FER and BER performance with lower memory requirements than rBMST.

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