Elements of information theory
Elements of information theory
Journal of Global Optimization
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
Efficient encoding of low-density parity-check codes
IEEE Transactions on Information Theory
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
Information-theoretic analysis of information hiding
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Duality between source coding and channel coding and its extension to the side information case
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Quasicyclic low-density parity-check codes from circulant permutation matrices
IEEE Transactions on Information Theory
A close-to-capacity dirty paper coding scheme
IEEE Transactions on Information Theory
Capacity and lattice strategies for canceling known interference
IEEE Transactions on Information Theory
Superposition coding for side-information channels
IEEE Transactions on Information Theory
An introduction to the multi-user MIMO downlink
IEEE Communications Magazine
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We propose a practical scheme for binary dirty-paper channels. By exploiting the concept of random binning instead of superposition coding, the complexity of the system is greatly reduced. For comparison, the existing approaches require one of the native codes to be of non-uniform a priori distribution, which is generally achieved by combining a symbol mapper and high-order-alphabet low-density parity-check (LDPC) codes. Using high-order alphabets increases significantly the complexity and the resulting method is not flexible for designing systems of practical channel parameters. In contrast, we propose to implement the random binning concept using only binary LDPC and binary convolutional codes. In this work, some design challenges of this random binning approach are identified and addressed. Our systems are optimized by the joint use of density evolution (DE) and the extrinsic information transfer (EXIT) analysis. Simulation results using practical Quasi-Cyclic LDPC codes show that our system achieves similar performance to the state-of-the-art, high-order-alphabet LDPC-based systems while demonstrating significant advantages in terms of complexity and flexibility of system design.