Abstract
This paper introduces a novel two-step interference alignment beamforming algorithm for a multiple-antenna interference channel with uncoordinated interference. The proposed algorithm performs subspace division of the signal space by using the total least squares method to use all available degrees of freedom in the system. The algorithm also uses the minimum mean square error as a criterion to maximize the sum rate of the system. Simulation results indicate that the sum rate of the proposed algorithm outperforms the sum rates of previous works in the context of a network with uncoordinated interference. The performance levels of these algorithms are also compared for different uncoordinated interference strengths. Almost the same trend is obtained for the sum rate performance.
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This work was supported by the key project of National Natural Science Foundation of China under Grant Nos. 61231007 and 61201168 and the major State Science & Technology specific projects of China under Grant No. 2010ZX03005-003.
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Zhong, L., Zhu, G., Kong, Z. et al. Distributed Interference Alignment Algorithm for Multiple-Input Multiple-Output Networks with Uncoordinated Interference. Cogn Comput 5, 215–224 (2013). https://doi.org/10.1007/s12559-012-9195-7
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DOI: https://doi.org/10.1007/s12559-012-9195-7