Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels

Myeong Jin Kim; Young Chai Ko; Hyun Ho Lee

doi:10.1109/ICTC.2013.6675556

Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels

Myeong Jin Kim, Young Chai Ko, Hyun Ho Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose two different channel selection algorithms based on interference alignment (IA) scheme in multiple-input multiple-out (MIMO) interfering broadcast channels where there exists inter-cell interference. Our first proposed algorithm is the maximization of the sum rate by selecting the ICI channels in a brute force fashion. While our first proposed algorithm is optimal in the sense of the sum rate, it requires very high computational complexity. Our second proposed algorithm is the channel selection algorithm based on the signal-to-interference plus noise ratio (SINR) which is sub-optimal in the sum-rate but requires lower complexity than the first proposed scheme. Simulation results demonstrate that our proposed algorithms can offer significant sum rate improvement compared to the conventional time division multiple access (TDMA) with the multi-user MIMO technique such as block diagonalization (BD).

Original language	English
Title of host publication	2013 International Conference on ICT Convergence
Subtitle of host publication	"Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013
Publisher	IEEE Computer Society
Pages	1067-1071
Number of pages	5
ISBN (Print)	9781479906987
DOIs	https://doi.org/10.1109/ICTC.2013.6675556
Publication status	Published - 2013
Event	2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 - Jeju Island, Korea, Republic of Duration: 2013 Oct 14 → 2013 Oct 16

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Other

Other	2013 International Conference on Information and Communication Technology Convergence, ICTC 2013
Country/Territory	Korea, Republic of
City	Jeju Island
Period	13/10/14 → 13/10/16

Keywords

Interference channel selection
MIMO interfering broadcast channels
SINR
interference alignment
sum rate

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC.2013.6675556

Cite this

Kim, M. J., Ko, Y. C., & Lee, H. H. (2013). Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels. In 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013 (pp. 1067-1071). Article 6675556 (International Conference on ICT Convergence). IEEE Computer Society. https://doi.org/10.1109/ICTC.2013.6675556

Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels. / Kim, Myeong Jin; Ko, Young Chai; Lee, Hyun Ho.
2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013. IEEE Computer Society, 2013. p. 1067-1071 6675556 (International Conference on ICT Convergence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, MJ, Ko, YC & Lee, HH 2013, Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels. in 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013., 6675556, International Conference on ICT Convergence, IEEE Computer Society, pp. 1067-1071, 2013 International Conference on Information and Communication Technology Convergence, ICTC 2013, Jeju Island, Korea, Republic of, 13/10/14. https://doi.org/10.1109/ICTC.2013.6675556

Kim MJ, Ko YC, Lee HH. Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels. In 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013. IEEE Computer Society. 2013. p. 1067-1071. 6675556. (International Conference on ICT Convergence). doi: 10.1109/ICTC.2013.6675556

Kim, Myeong Jin ; Ko, Young Chai ; Lee, Hyun Ho. / Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels. 2013 International Conference on ICT Convergence: "Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013. IEEE Computer Society, 2013. pp. 1067-1071 (International Conference on ICT Convergence).

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abstract = "In this paper, we propose two different channel selection algorithms based on interference alignment (IA) scheme in multiple-input multiple-out (MIMO) interfering broadcast channels where there exists inter-cell interference. Our first proposed algorithm is the maximization of the sum rate by selecting the ICI channels in a brute force fashion. While our first proposed algorithm is optimal in the sense of the sum rate, it requires very high computational complexity. Our second proposed algorithm is the channel selection algorithm based on the signal-to-interference plus noise ratio (SINR) which is sub-optimal in the sum-rate but requires lower complexity than the first proposed scheme. Simulation results demonstrate that our proposed algorithms can offer significant sum rate improvement compared to the conventional time division multiple access (TDMA) with the multi-user MIMO technique such as block diagonalization (BD).",

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AB - In this paper, we propose two different channel selection algorithms based on interference alignment (IA) scheme in multiple-input multiple-out (MIMO) interfering broadcast channels where there exists inter-cell interference. Our first proposed algorithm is the maximization of the sum rate by selecting the ICI channels in a brute force fashion. While our first proposed algorithm is optimal in the sense of the sum rate, it requires very high computational complexity. Our second proposed algorithm is the channel selection algorithm based on the signal-to-interference plus noise ratio (SINR) which is sub-optimal in the sum-rate but requires lower complexity than the first proposed scheme. Simulation results demonstrate that our proposed algorithms can offer significant sum rate improvement compared to the conventional time division multiple access (TDMA) with the multi-user MIMO technique such as block diagonalization (BD).

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Channel selection algorithms based on interference alignment in MIMO interfering broadcast channels

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