A Density Evolution Based Framework for Dirty Paper Code Design Using TCQ and Multilevel LDPC Codes

Provided by: Texas A&M International University
Topic: Mobility
Format: PDF
The authors 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. In order for the approximated LLR distributions obtained using density evolution to better match the true LLR distributions, a novel de-correlator is added to the decoder to make channel LLRs and check node LLRs almost independent of each other.

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