TY - GEN
T1 - On capacity of the dirty paper channel with fading dirt in the strong fading regime
AU - Rini, Stefano
AU - Shamai, Shlomo
N1 - Publisher Copyright: © 2014 IEEE.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - The classic 'writing on dirty paper' capacity result establishes that full state pre-cancellation can be attained in Gelfand-Pinsker problem with additive state and additive white Gaussian noise. This result holds under the assumption that both the transmitter and the receiver have perfect knowledge of the channel. We are interested in characterizing capacity under the more realistic assumption that only partial channel knowledge is available at the transmitter. To this end we study the 'dirty paper channel with slow fading dirt', a variation of the dirty paper channel in which the state sequence is multiplied by a slow fading value known only at the receiver. For this model we establish two approximate characterizations of capacity, one for the case in which fading takes only two values and one for the case in which fading takes M possible values but these values are greatly spaced apart. For both results, a naive strategy in which the encoder pre-codes against different fading realizations in different time slots is sufficient to approach capacity.
AB - The classic 'writing on dirty paper' capacity result establishes that full state pre-cancellation can be attained in Gelfand-Pinsker problem with additive state and additive white Gaussian noise. This result holds under the assumption that both the transmitter and the receiver have perfect knowledge of the channel. We are interested in characterizing capacity under the more realistic assumption that only partial channel knowledge is available at the transmitter. To this end we study the 'dirty paper channel with slow fading dirt', a variation of the dirty paper channel in which the state sequence is multiplied by a slow fading value known only at the receiver. For this model we establish two approximate characterizations of capacity, one for the case in which fading takes only two values and one for the case in which fading takes M possible values but these values are greatly spaced apart. For both results, a naive strategy in which the encoder pre-codes against different fading realizations in different time slots is sufficient to approach capacity.
KW - Channel with state
KW - Gelfand-Pinsker problem
KW - Imperfect channel side information
KW - Writing on fading dirt
UR - http://www.scopus.com/inward/record.url?scp=84929376891&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ITW.2014.6970894
DO - https://doi.org/10.1109/ITW.2014.6970894
M3 - منشور من مؤتمر
T3 - 2014 IEEE Information Theory Workshop, ITW 2014
SP - 561
EP - 565
BT - 2014 IEEE Information Theory Workshop, ITW 2014
T2 - 2014 IEEE Information Theory Workshop, ITW 2014
Y2 - 2 November 2014 through 5 November 2014
ER -