An iterative algorithm for multi-user inference channel based on subspace projection Online publication date: Sun, 11-Jan-2015
by Qinmin Wang; Zhongpei Zhang; Ming Liu; Fengke Jie
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 5, No. 4, 2012
Abstract: Considering a Multiple Input Multiple Output (MIMO) interference channel with K-user pairs, an iterative algorithm based on projection is proposed. In this algorithm, the objective function is the weighted sum of leakage of interference and desired signal out of their corresponding subspace. This algorithm can increase distance between interference subspace and desired signal subspace. Simulation results show that sum rate of the adjustable weight iteration algorithm is superior to other schemes.
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