Optimal Selection of Reference Vector in Sub-space Interference Alignment for Cell Capacity Maximization 


Vol. 36,  No. 5, pp. 485-494, May  2011


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  Abstract

In this paper, novel sub-space interference alignment algorithms are proposed to boost the capacity in multi-cell environment. In the case of conventional sub-space alignment, arbitrary reference vectors have been adopted as transmitting vectors at the transmitter side, and the inter-cell interference among users are eliminated by using orthogonal vectors of the chosen reference vectors at the receiver side. However, in this case, sum-rate varies using different reference vectors even though the channel values keep constant, and vice versa. Therefore, the relationship between reference vectors and channel values are analyzed in this paper, and novel interference alignment algorithms are proposed to increase multi-cell capacity. Reference vectors with similar magnitude are adopted in the proposed algorithm. Simulation results show that the proposed algorithms provide about 50 % higher sum-rate than conventional algorithm.

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  Cite this article

[IEEE Style]

D. Han, B. Hui, K. Chang, B. Koo, "Optimal Selection of Reference Vector in Sub-space Interference Alignment for Cell Capacity Maximization," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 5, pp. 485-494, 2011. DOI: .

[ACM Style]

DongKeol Han, Bing Hui, KyungHi Chang, and BonTae Koo. 2011. Optimal Selection of Reference Vector in Sub-space Interference Alignment for Cell Capacity Maximization. The Journal of Korean Institute of Communications and Information Sciences, 36, 5, (2011), 485-494. DOI: .

[KICS Style]

DongKeol Han, Bing Hui, KyungHi Chang, BonTae Koo, "Optimal Selection of Reference Vector in Sub-space Interference Alignment for Cell Capacity Maximization," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 5, pp. 485-494, 5. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880