DocumentCode
2022139
Title
Lattice Strategies for the Dirty Multiple Access Channel
Author
Philosof, T. ; Khisti, A. ; Erez, U. ; Zamir, R.
Author_Institution
Tel Aviv Univ., Tel Aviv
fYear
2007
fDate
24-29 June 2007
Firstpage
386
Lastpage
390
Abstract
We consider a generalization of the Gaussian dirty- paper problem to a multiple access setup. There are two additive interferences, one known to each transmitter but none to the receiver. The rates achievable using random binning schemes (i.e. schemes based on Costa\´s auxiliary random variables) vanish in the limit when the interferences are strong. In contrast, we show that lattice strategies ("lattice preceding") can achieve positive rates independent of the interferences. Furthermore, we derive an outer bound for the capacity region for arbitrary interferences, which is strictly smaller than the clean MAC capacity region. We then show that lattice strategies meet this outer bound for some combinations of noise variance and power constraints. In particular, lattice strategies are optimal in the limit of high SNR. Thus, the dirty MAC is another instance of a network setup, like the Korner-Marton modulo-two sum problem, where linear coding is better than random binning. We also derive lattice transmission schemes and conditions for optimality for the asymmetric case, where there is only one interference which is known to one of the users, and in particular for the helper problem, where the user which knows the interference does not have a message it wishes to transmit.
Keywords
interference (signal); linear codes; multi-access systems; random codes; transceivers; Gaussian dirty-paper problem; Korner-Marton modulo-two sum problem; MAC capacity region; additive interferences; arbitrary interferences; dirty multiple access channel; lattice strategy; lattice transmission schemes; linear coding; noise variance; power constraints; random binning; receiver; transmitter; Auxiliary transmitters; Channel coding; H infinity control; Interference constraints; Lattices; Random variables; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location
Nice
Print_ISBN
978-1-4244-1397-3
Type
conf
DOI
10.1109/ISIT.2007.4557256
Filename
4557256
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