Interference alignment via alternating minimization

Authors:
Steven W. Peters;Robert W. Heath
Affiliations:
The University of Texas at Austin, Department of Electrical&Computer Engineering, 1 University Station C0806, 78712-0240, USA;The University of Texas at Austin, Department of Electrical&Computer Engineering, 1 University Station C0806, 78712-0240, USA
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

Citing 0
Cited 9

Real world feasibility of interference alignment using MIMO-OFDM channel measurements

MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Distributed multicell-MISO precoding using the layered virtual SINR framework

IEEE Transactions on Wireless Communications
From spectrum pooling to space pooling: opportunistic interference alignment in MIMO cognitive networks

IEEE Transactions on Signal Processing
Optimization of interference alignment beamforming vectors

IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
MSE-based transceiver designs for the MIMO interference channel

IEEE Transactions on Wireless Communications
Robust transceiver design for K-pairs quasi-static MIMO interference channels via semi-definite relaxation

IEEE Transactions on Wireless Communications
Spatial interweave for a MIMO secondary interference channel with multiple primary users

Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
Research on improving throughput of wireless MIMO network

ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
Enabling real-time interference alignment: promises and challenges

Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Using interference alignment, it has been shown that the number of degrees of freedom in the interference channel scales linearly with the number of users. Unfortunately, closed-form solutions for interference alignment over constant-coefficient channels with more than 3 users are difficult to derive. This paper proposes an algorithm for interference alignment in the MIMO interference channel with an arbitrary number of users, antennas, or spatial streams. The algorithm is an alternating minimization over the precoding matrices at the transmitters and the interference subspaces at the receivers, and is proven to converge. Numerical results show how the algorithm is useful for simulation and can give insight into the limitations of interference alignment.