TY - GEN
T1 - On robust dirty paper coding
AU - Khina, Anatoly
AU - Erez, Uri
PY - 2008
Y1 - 2008
N2 - A dirty paper channel is considered, where the transmitter knows the interference sequence up to a constant multiplicative factor, known only to the receiver. We derive lower bounds on the achievable rate of communication by proposing a coding scheme that partially compensates for the imprecise channel knowledge.We focus on a communication scenario where the Gaussian noise is small while the interference is strong. Our approach is based on analyzing the performance achievable using extended Tomlinson-Harashima like coding schemes. When the power of the interference is finite, we show that this may be achieved by a judicious choice of the scaling parameter at the receiver. We further show that the communication rate may be improved, for finite as well as infinite interference power, by allowing randomized scaling at the transmitter.
AB - A dirty paper channel is considered, where the transmitter knows the interference sequence up to a constant multiplicative factor, known only to the receiver. We derive lower bounds on the achievable rate of communication by proposing a coding scheme that partially compensates for the imprecise channel knowledge.We focus on a communication scenario where the Gaussian noise is small while the interference is strong. Our approach is based on analyzing the performance achievable using extended Tomlinson-Harashima like coding schemes. When the power of the interference is finite, we show that this may be achieved by a judicious choice of the scaling parameter at the receiver. We further show that the communication rate may be improved, for finite as well as infinite interference power, by allowing randomized scaling at the transmitter.
UR - http://www.scopus.com/inward/record.url?scp=51849102436&partnerID=8YFLogxK
U2 - 10.1109/ITW.2008.4578650
DO - 10.1109/ITW.2008.4578650
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AN - SCOPUS:51849102436
SN - 9781424422708
T3 - 2008 IEEE Information Theory Workshop, ITW
SP - 204
EP - 208
BT - 2008 IEEE Information Theory Workshop, ITW
T2 - 2008 IEEE Information Theory Workshop, ITW
Y2 - 5 May 2008 through 9 May 2008
ER -