TY - JOUR
T1 - Trellis and convolutional precoding for transmitter-based interference presubtraction
AU - Yu, Wei
AU - Varodayan, David P.
AU - Cioffi, John M.
N1 - Funding Information:
Paper approved by C. Schlegel, the Editor for Coding Theory and Techniques of the IEEE Communications Society. Manuscript received April 30, 2004. This work was supported in part by a Stanford Graduate Fellowship, in part by the Natural Science and Engineering Research Council (NSERC), in part by the Canada Research Chair Program, in part by Bell Canada University Laboratory, and in part by Communication and Information Technology Ontario (CITO). This paper was presented in part at IEEE Globecom, San Antonio, TX, December 2001.
PY - 2005/7
Y1 - 2005/7
N2 - 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.
AB - 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.
KW - Broadcast channel
KW - Channels with noncausal side information
KW - Convolutional codes
KW - Dirty-paper precoding
KW - Shaping codes
KW - Tomlinson-Harashima precoding (THP)
KW - Trellis codes
KW - Trellis precoding (TP)
KW - Trellis shaping (TS)
KW - Vectored digital subscriber line (DSL)
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U2 - 10.1109/TCOMM.2005.851605
DO - 10.1109/TCOMM.2005.851605
M3 - Article
AN - SCOPUS:23844541295
VL - 53
SP - 1220
EP - 1230
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
SN - 1558-0857
IS - 7
ER -