Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Analysis and design of LDPC codes for time-selective complex-fading channels
IEEE Transactions on Wireless Communications
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
The capacity of low-density parity-check codes under message-passing decoding
IEEE Transactions on Information Theory
Unified design of iterative receivers using factor graphs
IEEE Transactions on Information Theory
Design and analysis of successive decoding with finite levels for the Markov channel
IEEE Transactions on Information Theory
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This paper compares two approaches to reliable communication over fading channels using low-density parity check (LDPC) codes. The particular model considered is the block fading channel with independent channel realizations. The first approach uses a block interleaver to create independent sub-channels that are encoded using irregular LDPC codes with rates specified by the appropriate capacity values; this first approach uses a decision feedback structure wherein decoded data are used as pilots to estimate the channel prior to the next round of decoding. The second approach uses a combined graph describing both the channel and the code to iteratively estimate the channel and decode data. For comparable channels, it is shown that the decision-feedback approach provides better performance when a long delay is acceptable, while the iterative receiver provides better performance when more stringent delay constraints are imposed.