Browse > Article
http://dx.doi.org/10.12673/jkoni.2012.16.6.988

Efficient Interference Alignment for Uplink MIMO/FDD Systems with Limited Feedback  

Cho, Sung-Yoon (Department of Electrical and Electronics Eng., Yonsei University)
Jang, Jin-Young (Department of Electrical and Electronics Eng., Yonsei University)
Kim, Dong-Ku (Department of Electrical and Electronics Eng., Yonsei University)
Publication Information
Journal of Advanced Navigation Technology / v.16, no.6, 2012 , pp. 988-996 More about this Journal
Abstract
Assuming perfect channel state information (CSI), the conventional interference alignment (IA) algorithm in the uplink cellular system suppresses inter-cell interference (ICI) by aligning ICI to a randomly selected reference vector. However, IA in practice relies on limited feedback between base stations and users, resulting in residual ICI. In this paper, we propose the optimization of the reference vector that minimizes the upper-bound of residual ICI power. Secondly, the iterative IA that designs the direction of transmit and receive filter is proposed to minimize the residual ICI as well as maximize the desired signals. Moreover, we propose the user scheduling method combined with proposed IA schemes which provides the multiuser diversity gain in multi-cell environments. Finally, the performance gain of the proposed IA algorithms compared with the existing IA are analyzed and demonstrated by simulation results.
Keywords
Interference alignment; multiple-input-multiple-output (MIMO); uplink cellular system; limited feedback;
Citations & Related Records
연도 인용수 순위
  • Reference
1 V. R. Cadambe and S. A. Jafar, "Interference alignment and the degrees of freedom for the K user interference channel," IEEE Trans. on Inform. Theory, vol. 54, no. 8, pp. 3425-3441, Aug. 2008.   DOI   ScienceOn
2 C. M. Yetis, T. Gou, S. A. Jafar and A. H. Kayran, "On feasibility of interference alignment in MIMO interference networks," IEEE Trans. on Signal Process., vol. 58, no. 9, pp. 4771-4782, Sept. 2010.   DOI   ScienceOn
3 K. Gomadam, V. Cadambe, and S. Jafar, "Approaching the capacity of wireless networks through distributed interference alignment," in Proc., IEEE GLOBECOM, Dec. 2008.
4 J. Thukral and H. Bolcskei, "Interference align -ment with limited feedback," in Proc., IEEE Int. Symp. Inform. Theory, June. 2009.
5 C. Suh and D. Tse, "Interference alignment for cellular networks," in Proc., Allerton Conf. on Comm., Cont., and Comp., Sept. 2008.
6 C. Suh, M. Ho and D. Tse, "Downlink Interference Alignment," IEEE Trans. on Commun., vol. 59, no. 9, pp. 2616-2626, Sept. 2011.   DOI   ScienceOn
7 N. Jindal, "MIMO broadcast channels with finite-rate feedback," IEEE Trans. on Inform. Theory, vol. 52, no.11, pp. 5045-5060, Nov. 2006.   DOI   ScienceOn
8 R. A. Horn and C. R. Johnson, Matrix Analysis, Cambridge University Press, 1985.
9 T. Yoo, N. Jindal and A. Goldsmith, "Multi-Antenna Downlink Channels with Limited Feedback and User Selection," IEEE Journal Sel. Areas in Commun., vol. 25, no. 7, pp. 1478-1491, Sept. 2007.   DOI   ScienceOn
10 Y. Li, L. Zhang, L. J. Cimini, and H. Zhang, "Statistical analysis of MIMO beamforming With co-channel unequal-power MIMO interferers under path-loss and Rayleigh fading," IEEE Trans. on Signal. Process., vol. 59, no. 8, pp. 3738-3748, Aug. 2011.   DOI   ScienceOn
11 S. Cho, K. Huang, H. Seo and D. Kim, " Interference Alignment for Uplink Cellular Systems with Limited Feedback," IEEE Comm. Lett., vol 16, no. 7, pp. 960-963, Jul. 2012.   DOI   ScienceOn