Title :
Gaussian causal dirty paper capacity is at most log (1 + SNR over e)
Author :
Kesal, Mustafa ; Erez, Uri
Author_Institution :
Dept. EE - Syst., Tel Aviv Univ., Tel Aviv, Israel
Abstract :
A bound on the capacity of the causal dirty paper problem with arbitrary interference and general independent identically distributed additive noise is derived. In particular, it is shown that for the case of Gaussian noise the capacity is upper bounded by log2 (1 + (SNR)/e) bits per real dimension. This bound is useful for SNR ≤ e(e - 2).
Keywords :
Gaussian noise; channel capacity; interference (signal); Gaussian causal dirty paper capacity; Gaussian noise; arbitrary interference; causal dirty paper problem; independent identically distributed additive noise; AWGN; Additive noise; Additive white noise; Capacity planning; Channel capacity; Gaussian noise; Interference constraints; Lattices; Signal to noise ratio; Transmitters;
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
DOI :
10.1109/ISIT.2010.5513328
