Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICC.2014.6884237 | Communications |
Keywords | DocType | Volume |
MIMO communication,iterative methods,message passing,minimisation,precoding,radiofrequency interference,Gomadam iterative leakage minimization algorithm,IA precoder,MIMO channel,continuous variable space,interference alignment,message parameterization,message passing,min-sum algorithm | Journal | abs/1310.2435 |
ISSN | Citations | PageRank |
1550-3607 | 5 | 0.43 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maxime Guillaud | 1 | 315 | 30.64 |
| Mohsen Rezaee | 2 | 34 | 5.42 |
| Gerald Matz | 3 | 966 | 87.40 |