An iterative algorithm for multi-user inference channel based on subspace projection

Authors:
Qinmin Wang;Zhongpei Zhang;Ming Liu;Fengke Jie
Affiliations:
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China;Information System Engineering Institute, Information Engineering University PLA, Zhengzhou 450001, China;Information System Engineering Institute, Information Engineering University PLA, Zhengzhou 450001, China
Venue:
International Journal of Wireless and Mobile Computing
Year:
2012

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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.