6 papers · 1 filter
Mixed Block Markov Superposition Transmission Codes
Philipp Mohr, Jasper Brüggmann, Viet Hoang Le +1
Block Markov superposition transmission (BMST) codes provide a flexible framework for constructing codes with near-capacity performance and low-complexity sliding-window decoding.…
Turbo Equalization with Coarse Quantization using the Information Bottleneck Method
Philipp Mohr, Jasper Brüggmann, Gerhard Bauch
This paper proposes a turbo equalizer for intersymbol interference channels (ISI) that uses coarsely quantized messages across all receiver components. Lookup tables (LUTs) carry o…
Memory-Assisted Quantized LDPC Decoding
Philipp Mohr, Gerhard Bauch
We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages ev…
Region-Specific Coarse Quantization with Check Node Awareness in 5G LDPC Decoding
Philipp Mohr, Gerhard Bauch
This paper presents novel techniques for improving the error correction performance and reducing the complexity of coarsely quantized 5G-LDPC decoders. The proposed decoder design…
Implementation-Efficient Finite Alphabet Decoding of Polar Codes
Philipp Mohr, Syed Aizaz Ali Shah, Gerhard Bauch
An implementation-efficient finite alphabet decoder for polar codes relying on coarsely quantized messages and low-complexity operations is proposed. Typically, finite alphabet dec…
A Variable Node Design with Check Node Aware Quantization Leveraging 2-Bit LDPC Decoding
Philipp Mohr, Gerhard Bauch
For improving coarsely quantized decoding of LDPC codes, we propose a check node aware design of the variable node update. In contrast to previous works, we optimize the variable n…