Subspace Interference Alignment by Orthogonalization of Reference Vectors 


Vol. 35,  No. 1, pp. 54-61, Jan.  2010


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  Abstract

We propose a subspace interference alignment by orthogonalization of reference vectors. The proposed method improves the sum-rate capacity degradation due to the channel decomposition error and channel estimation error in the real environment. Using the proposed method, each cell uses the reference vector that is orthogonal to the adjacent cells. Then the residual interference produced by the channel decomposition error and the channel estimation error is decreased. The simulation results demonstrate that the proposed method achieves the enhanced sum-rate capacity.

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  Cite this article

[IEEE Style]

J. Seo, H. Kim, Y. Lee, D. Kwon, J. Kim, J. Chung, "Subspace Interference Alignment by Orthogonalization of Reference Vectors," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 54-61, 2010. DOI: .

[ACM Style]

Jong-pil Seo, Hyun-soo Kim, Yoon-ju Lee, Dong-seung Kwon, Ji-hyung Kim, and Jaehak Chung. 2010. Subspace Interference Alignment by Orthogonalization of Reference Vectors. The Journal of Korean Institute of Communications and Information Sciences, 35, 1, (2010), 54-61. DOI: .

[KICS Style]

Jong-pil Seo, Hyun-soo Kim, Yoon-ju Lee, Dong-seung Kwon, Ji-hyung Kim, Jaehak Chung, "Subspace Interference Alignment by Orthogonalization of Reference Vectors," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 54-61, 1. 2010.