Maximum Sum-Rate Interference Alignment Algorithms for MIMO Channels
- 1 December 2010
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 1930529X,p. 1-6
- https://doi.org/10.1109/glocom.2010.5683919
Abstract
Alternating minimization algorithms are typically used to find interference alignment (IA) solutions for multiple-input multiple-output (MIMO) interference channels with more than K=3 users. For these scenarios many IA solutions exit, and the initial point determines which one is obtained upon convergence. In this paper, we propose a new iterative algorithm that aims at finding the IA solution that maximizes the average sum-rate. At each step of the alternating minimization algorithm, either the precoders or the decoders are moved along the direction given by the gradient of the sum-rate. Since IA solutions are defined by a set of subspaces, the gradient optimization is performed on the Grassmann manifold. The step size of the gradient ascent algorithm is annealed to zero over the iterations in such a way that during the last iterations only the interference leakage is being minimized and a perfect alignment solution is finally reached. Simulation examples are provided showing that the proposed algorithm obtains IA solutions with significant higher throughputs than the conventional IA algorithms.Keywords
This publication has 11 references indexed in Scilit:
- Large System Performance of Interference Alignment in Single-Beam MIMO NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- On Feasibility of Interference Alignment in MIMO Interference NetworksIEEE Transactions on Signal Processing, 2010
- Regularized Interference Alignment Based on Weighted Sum-MSE Criterion for MIMO Interference ChannelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Linear precoder designs for K-user interference channelsIEEE Transactions on Wireless Communications, 2010
- On the achievability of interference alignment in the K-user constant MIMO interference channelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Cellular Interference Alignment with Imperfect Channel KnowledgePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Interference alignment via alternating minimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Minimum Mean Squared Error interference alignmentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Approaching the Capacity of Wireless Networks through Distributed Interference AlignmentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- The Geometry of Algorithms with Orthogonality ConstraintsSIAM Journal on Matrix Analysis and Applications, 1998