TY - JOUR
T1 - Carbon copying onto dirty paper
AU - Khisti, Ashish
AU - Erez, Uri
AU - Lapidoth, Amos
AU - Wornell, Gregory W.
N1 - Funding Information:
Manuscript received November 28, 2005; revised September 29, 2006. This work was supported in part by the National Science Foundation under Grant CCF-0515109, and by Hewlett-Packard through the MIT/HP Alliance. The material in this correspondence was presented in part at the IEEE International Symposium on Information Theory, Chicago, IL, June/July 2004 and at the International Zurich Seminar, Zurich, Switzerland, February 2006.
PY - 2007/5
Y1 - 2007/5
N2 - A generalization of the problem of writing on dirty paper is considered in which one transmitter sends a common message to multiple receivers. Each receiver experiences on its link an additive interference (in addition to the additive noise), which is known noncausally to the transmitter but not to any of the receivers. Applications range from wireless multiple-antenna multicasting to robust dirty paper coding. We develop results formemoryless channels in Gaussian and binary special cases. In most cases, we observe that the availability of side information at the transmitter increases capacity relative to systems without such side information, and that the lack of side information at the receivers decreases capacity relative to systems with such side information. For the noiseless binary case, we establish the capacity when there are two receivers. When there are many receivers, we show that the transmitter side information provides a vanishingly small benefit. When the interference is large and independent across the users, we show that time sharing is optimal. For the Gaussian case, we present a coding scheme and establish its optimality in the high signal-to-interference-plus-noise limit when there are two receivers. When the interference power is large and independent across all the receivers, we show that time-sharing is again optimal. Connections to the problem of robust dirty paper coding are also discussed.
AB - A generalization of the problem of writing on dirty paper is considered in which one transmitter sends a common message to multiple receivers. Each receiver experiences on its link an additive interference (in addition to the additive noise), which is known noncausally to the transmitter but not to any of the receivers. Applications range from wireless multiple-antenna multicasting to robust dirty paper coding. We develop results formemoryless channels in Gaussian and binary special cases. In most cases, we observe that the availability of side information at the transmitter increases capacity relative to systems without such side information, and that the lack of side information at the receivers decreases capacity relative to systems with such side information. For the noiseless binary case, we establish the capacity when there are two receivers. When there are many receivers, we show that the transmitter side information provides a vanishingly small benefit. When the interference is large and independent across the users, we show that time sharing is optimal. For the Gaussian case, we present a coding scheme and establish its optimality in the high signal-to-interference-plus-noise limit when there are two receivers. When the interference power is large and independent across all the receivers, we show that time-sharing is again optimal. Connections to the problem of robust dirty paper coding are also discussed.
KW - Common information
KW - Dirty paper coding
KW - Gel'fand-Pinsker channels
KW - Multiple-input/multiple-output (MIMO) broadcast channel
KW - Writing on dirty paper
UR - http://www.scopus.com/inward/record.url?scp=34248374897&partnerID=8YFLogxK
U2 - 10.1109/TIT.2007.894693
DO - 10.1109/TIT.2007.894693
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:34248374897
SN - 0018-9448
VL - 53
SP - 1814
EP - 1827
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 5
ER -