Feasibility conditions for interference alignment
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed interference pricing for the MIMO interference channel
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
IEEE Transactions on Wireless Communications - Part 1
Interference Alignment and Degrees of Freedom of the -User Interference Channel
IEEE Transactions on Information Theory
Distributed interference compensation for wireless networks
IEEE Journal on Selected Areas in Communications
Hardware-accelerated design space exploration framework for communication systems
Analog Integrated Circuits and Signal Processing
| Hi-index | 0.00 |
To achieve the full multiplexing gain of MIMO interference networks at high SNRs, the interference from different transmitters must be aligned in lower-dimensional subspaces at the receivers. Recently a distributed "max-SINR" algorithm for precoder optimization has been proposed that achieves interference alignment for sufficiently high SNRs. We show that this algorithm can be interpreted as a variation of an algorithm that minimizes the sum Mean Squared Error (MSE). To maximize sum utility, where the utility depends on rate or SINR, a weighted sum MSE objective is used to compute the beams, where the weights are updated according to the sum utility objective. We specify a class of utility functions for which convergence of the sum utility to a local optimum is guaranteed with asynchronous updates of beams, receiver filters, and utility weights. Numerical results are presented, which show that this method achieves interference alignment at high SNRs, and can achieve different points on the boundary of the achievable rate region by adjusting the MSE weights.