FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Modern Wireless Communication
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Modern Coding Theory
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Improved low-density parity-check codes using irregular graphs
IEEE Transactions on Information Theory
Efficient encoding of low-density parity-check codes
IEEE Transactions on Information Theory
Verification-based decoding for packet-based low-density parity-check codes
IEEE Transactions on Information Theory
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In this paper, we propose a statistical model to analyze the performance of verification-based algorithm (VA) for packet-based low-density parity-check (LDPC) codes over binary symmetric channel (BSC). In contrast to the analysis of VA in the literature, we propose to take the false verification into consideration. For a given ensemble of LDPC codes and channel parameters, the proposed analysis model gives an efficient way to find the average performance of packet-based LDPC codes with verification-based decoding. Through numerical results, we find that the proposed method can provide a close estimation of frame error rate (FER) for packet-based LDPC codes with verification-based decoding over BSC for all crossover probabilities of practical interests.