Journal
IEEE COMMUNICATIONS LETTERS
Volume 16, Issue 10, Pages 1544-1547Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2012.082012.120943
Keywords
Dirty-paper coding; log-likelihood ratio; low-density parity-check codes; multilevel coding; trellis-coded quantization
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Funding
- Qatar National Research Fund
- NSFC [61128002]
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We propose a density evolution based dirty-paper code design framework that combines trellis coded quantization with multi-level low-density parity-check (LDPC) codes. Unlike existing design techniques based on Gaussian approximation and EXIT charts, the proposed framework tracks the empirically collected log-likelihood ratio (LLR) distributions at each iteration, and employs density evolution and differential evolution algorithms to design each LDPC component code. The performance of the dirty-paper codes designed using the proposed method comes within 0.37 dB of the theoretical limit at 1 bit per sample transmission rate, achieving an 0.21 dB gain over the best known result.
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