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Trellis and convolutional precoding for transmitter-based interference presubtraction
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DOI：10.1109/TCOMM.2005.851605.png)
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This paper studies the combination of practical trellis and convolution codes with Tomlinson-Harashima precoding (THP) for the presubtraction of multiuser interference that is known at the transmitter but not known at the receiver. It is well known that a straightforward application of THP suffers power, modulo, and shaping losses. This paper proposes generalizations of THP that recover some of these losses. At a high signal-to-noise ratio (SNR), the precoding loss is dominated by the shaping loss, which is about 1.53 dB. To recover shaping loss, a trellis-shaping technique is developed that takes into account the knowledge of a noncausal interfering sequence, rather than just the instantaneous interference. At rates of 2 and 3 bits per transmission, trellis shaping is shown to be able to recover almost all of the 1.53-dB shaping loss. At a low SNR, the precoding loss is dominated by power and modulo losses, which can be as large as 3-4 dB. To recover these losses, a technique that incorporates partial interference presubtraction (PIP) within convolutional decoding is developed. At rates of 0.5 and 0.25 bits per transmission, PIP is able to recover 1-1.5 dB of the power loss. For intermediate SNR channels, a combination of the two schemes is shown to recover both power and shaping losses.
Keyword:
broadcast channel
channels with noncausal side information
convolutional codes
dirty-paper precoding
shaping codes
Tomlinson-Harashima precoding (THP)
trellis codes
trellis precoding (TP)
trellis shaping (TS)
vectored digital subscriber line (DSL)
期刊
IF:
8.3
论文数:
1.2W
被引数:
3.6W
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