Efficient algorithms with modified QR decompostion for Distributed Interference Alignment based on Cognitive Radio

We propose efficient minor subspace tracking (MST) algorithms to implement Distributed Interference Alignment (IA) based on Cognitive Radio (CR) that employs Interference Subspace Tracking (IST). The proposed MST algorithms utilize modified QR decomposition that decomposes a matrix into a unitary matrix and a lower triangular matrix. With respect to the existing practical and efficient MST algorithm for IST-IA, the proposed MST algorithms require less computational complexity.