BMST-LDPC Coded Transmission of Block Varying Sparse Sources
Yinchu Wang, Yixin Wang, Xiao Ma · IEEE Transactions on Communications · 2025
In this paper, we propose to transmit sparse data by exploiting block Markov superposition transmission (BMST) of high-rate low-density parity-check (LDPC) codes. The high-rate LDPC codes are taken as the basic codes to lower down the error floors, while the BMST serves as joint source-channel coding (JSCC). The most distinguished feature of the BMST-LDPC codes is their flexible construction, which requires no complicated optimization and applies to a wide range of code rates. More importantly, embedding LDPC codes into the BMST system allows us to carry the sparsity information by free-ride coding without any loss of code rate, which may find applications especially in the scenario when the source sparsity varies from block to block. Numerical results show that the proposed BMST-LDPC coded system performs well for sparse sources with entropy < 0.5 bits, providing an easy way to trade off between the transmission power and the system bandwidth.