Elements of information theory
Elements of information theory
Information Theory and Reliable Communication
Information Theory and Reliable Communication
LDPC codes for fading channels: two strategies
AAECC'06 Proceedings of the 16th international conference on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Analysis and design of LDPC codes for time-selective complex-fading channels
IEEE Transactions on Wireless Communications
Capacity, mutual information, and coding for finite-state Markov channels
IEEE Transactions on Information Theory
Multilevel codes: theoretical concepts and practical design rules
IEEE Transactions on Information Theory
Mismatched decoding revisited: general alphabets, channels with memory, and the wide-band limit
IEEE Transactions on Information Theory
Optimal placement of training for frequency-selective block-fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Extrinsic information transfer functions: model and erasure channel properties
IEEE Transactions on Information Theory
Matched information rate codes for Partial response channels
IEEE Transactions on Information Theory
On Designing Good LDPC Codes for Markov Channels
IEEE Transactions on Information Theory
A Successive Decoding Strategy for Channels With Memory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Joint iterative channel estimation and decoding in flat correlated Rayleigh fading
IEEE Journal on Selected Areas in Communications
Information rates of the noncoherent frequency selective fading channel
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Hi-index | 754.84 |
This paper proposes a practical successive decoding scheme with finite levels for the finite-state Markov channels (FSMCs) where there is no a priori state information at the transmitter or the receiver. The design employs either a random interleaver or a deterministic interleaver with an irregular pattern and an optional iterative estimation and decoding procedure within each level. The interleaver design criteria may be the achievable rate or the extrinsic information transfer (EXIT) chart, depending on the receiver type. For random interleavers, the optimization problem is solved efficiently using a pilot-utility function, while for deterministic interleavers, a good construction is given using empirical rules. Simulation results demonstrate that the new successive decoding scheme combined with irregular low-density parity-check (LDPC) codes can approach the identically and uniformly distributed (i.u.d.) input capacity on the Markov-fading channel using only a few levels.