Iterative Algorithms for Interference Alignment in Cellular Network 


Vol. 37,  No. 10, pp. 947-955, Oct.  2012


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  Abstract

In this paper, we propose iterative algorithms to obtain the transmit and the receive vectors for interference alignment in cellular network. Although the conventional interference alignment algorithms for interference channels can be applied to cellular network, the number of iterations required to achieve a high sum rate is very large. The key idea in the proposed algorithms is to ignore intra-cell interference in updating the transmit vector for uplink and the receive vector for downlink. Numerical results show that the proposed algorithms achieve higher sum rates than the conventional algorithms for given iteration numbers when multiple antennas and a single carrier are used for interference alignment. It is also shown that the proposed algorithms outperform the conventional algorithms when a single antenna and multiple subcarriers are used for interference alignment.

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  Cite this article

[IEEE Style]

J. H. Yeo and J. H. Cho, "Iterative Algorithms for Interference Alignment in Cellular Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 10, pp. 947-955, 2012. DOI: .

[ACM Style]

Jeong Ho Yeo and Joon Ho Cho. 2012. Iterative Algorithms for Interference Alignment in Cellular Network. The Journal of Korean Institute of Communications and Information Sciences, 37, 10, (2012), 947-955. DOI: .

[KICS Style]

Jeong Ho Yeo and Joon Ho Cho, "Iterative Algorithms for Interference Alignment in Cellular Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 10, pp. 947-955, 10. 2012.