Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Vector quantization and signal compression
Vector quantization and signal compression
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Achievable Performance of Digital Watermarking Systems
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Code design for MIMO broadcast channels
IEEE Transactions on Communications
Wyner-Ziv coding based on TCQ and LDPC codes
IEEE Transactions on Communications
Scalar Costa scheme for information embedding
IEEE Transactions on Signal Processing
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
Extrinsic information transfer functions: model and erasure channel properties
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
Capacity bounds for Cooperative diversity
IEEE Transactions on Information Theory
Superposition coding for side-information channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
On Multiterminal Source Code Design
IEEE Transactions on Information Theory
Wyner-Ziv coding based on TCQ and LDPC codes
IEEE Transactions on Communications
Coordinated linear beamforming in downlink multi-cell wireless networks
IEEE Transactions on Wireless Communications
| Hi-index | 754.84 |
This paper examines near-capacity dirty-paper code designs based on source-channel coding. We first point out that the performance loss in signal-to-noise ratio (SNR) in our code designs can be broken into the sum of the packing loss from channel coding and a modulo loss, which is a function of the granular loss from source coding and the target dirty-paper coding rate (or SNR). We then examine practical designs by combining trellis-coded quantization (TCQ) with both systematic and nonsystematic irregular repeat-accumulate (IRA) codes. Like previous approaches, we exploit the extrinsic information transfer (EXIT) chart technique for capacity-approaching IRA code design; but unlike previous approaches, we emphasize the role of strong source coding to achieve as much granular gain as possible using TCQ. Instead of systematic doping, we employ two relatively shifted TCQ codebooks, where the shift is optimized (via tuning the EXIT charts) to facilitate the IRA code design. Our designs synergistically combine TCQ with IRA codes so that they work together as well as they do individually. By bringing together TCQ (the best quantizer from the source coding community) and EXIT chart-based IRA code designs (the best from the channel coding community), we are able to approach the theoretical limit of dirty-paper coding. For example, at 0.25 bit per symbol (b/s), our best code design (with 2048-state TCQ) performs only 0.630 dB away from the Shannon capacity.