[Zurück]

M. Guillaud, M. Rezaeekheirabadi, G. Matz:
"Interference Alignment via Message-Passing";
Vortrag: IEEE International Conference on Communications, Sydney, Australien; 10.06.2014 - 14.06.2014; in: "Proc. IEEE International Conference on Communications", (2014), 6 S.

We introduce an iterative solution to the problem
of interference alignment (IA) over MIMO channels based on a
message-passing formulation. We propose a parameterization of
the messages that enables the computation of IA precoders by a
min-sum algorithm over continuous variable spaces - under this
parameterization, suitable approximations of the messages can
be computed in closed-form. We show that the iterative leakage
minimization algorithm of Gomadam et al. is a special case of our
message-passing algorithm, obtained for a particular schedule.
Finally, we show that the proposed algorithm compares favorably
to iterative leakage minimization in terms of convergence speed,
and discuss a distributed implementation.

http://publik.tuwien.ac.at/files/PubDat_225762.pdf