DOI QR코드

DOI QR Code

동적 셀 선택 기반 기회적 간섭 정렬

Opportunistic Interference Alignment Based on Dynamic Cell Selection

  • 서종필 (인하대학교 전자공학과 무선이동통신연구실) ;
  • 김재영 (인하대학교 전자공학과 무선이동통신연구실) ;
  • 김현수 (인하대학교 전자공학과 무선이동통신연구실) ;
  • 정재학 (인하대학교 전자공학과 무선이동통신연구실)
  • 투고 : 2012.08.22
  • 심사 : 2012.10.22
  • 발행 : 2012.10.30

초록

본 논문에서는 동적 셀 선택 기반의 기회적 간섭 정렬 기법을 제안한다. 제안된 방법은 각 사용자의 수신 신호 공간과 간섭 공간을 선택함으로써 기존의 기회적 간섭 정렬 기법을 통해 얻을 수 있는 다중 사용자 다이버시티 이득에 추가적인 선택적 다이버시티 이득을 얻을 수 있다. 제안된 방법의 합용량 성능 검증을 위해 확률 모델을 사용하여 전체 시스템의 합용량 성능을 수학적으로 유도하였다. 전산모의실험을 통해 제안된 방법이 기존의 방법에 비해 성능이 향상됨을 검증하였고 분석한 성능과 실험 결과의 일치함을 보였다.

An opportunistic interference alignment based on dynamic cell selection is proposed. Since the proposed method can switch the desired signal space and the interference space of received signals, an additional selective diversity gain increases. The performance analysis using probabilistic models provides a mathematical expression for the sum-rate capacity. Simulation examples show that the proposed method achieves the higher sum-rate capacity than that of the conventional opportunistic interference alignment.

키워드

참고문헌

  1. C. Rose, S. Ulukus and R. Yates, "Wireless Systems and Interference Avoidance," IEEE Trans. on Wireless Communications, vol.1, pp. 415-428, July. 2002. https://doi.org/10.1109/TWC.2002.800540
  2. W. Yu, W. Rhee, S. Boyd and J. M. Cioffi, "Iterative waterfilling for gaussian vector multiple-access channels," IEEE Trans. on Information Theory, vol.50, no.1, pp.145-152, Jan. 2004. https://doi.org/10.1109/TIT.2003.821988
  3. N. Niato, F. Srrelli, A. Sala and A. Capone, "Interference mitigation strategies for WiMax networks," in Proc. of IEEE International Symposium of Wireless Communication Systems(ISWCS '07), Trondheim, Norway, Oct. 2007.
  4. V. R. Cadambe and S. A. Jafar, "Interference alignment and the degrees of freedom for the K-user interference channel," IEEE Transactions on Information Theory, vol. 54, no.8, pp. 3424-3441, Aug. 2008.
  5. K. Gomadam, V. R. Cadambe and S. A. Jafar, "A distributed numerical approach to interference alignment and applications to wireless interference networks," IEEE Transactions on Information Theory, vol. 57, no, 6, Jun. 2011.
  6. H. Yu and Y. Sung, "Least squares approach to joint beam design for interference alignment in multiuser multi-input multi-output interference channels," IEEE Transactions on Signal Processing, vol. 58, no. 9, Sep. 2010.
  7. S. Peters and R. W. Heath, Jr., "Cooperative algorithms for MIMO interference channels," IEEE Transactions on Vehicular Technology, vol. 60, no. 1, Jan. 2011.
  8. C. M. Tetis, T. Gou, S. A. Jafar and A. H. Kayran, "On feasibility of interference alignment in MIMO interference networks," IEEE Transactions on Signal Processing, vol. 58, no. 9, Sep. 2010.
  9. J. Lee and W. Choi, "Opportunistic interference aligned user selection in multiuser MIMO interference channels," Proceedings of Global Telecommunication Conference 2010, Miami, USA, Dec. 2010.
  10. J. Seo, H. Kim, J. Ahn and J. Chung, "Orthogonal reference vector selection method of subspace interference alignment," The Journal of Korea Information and Communications Society, vol. 36, no. 5, pp. 457-436, May. 2011.
  11. P. Viswanath, D. N. C. Tse and R. Laroia, "Opportunistic beamforming using dumb antenna," IEEE Transactions on Information Theory, vol. 48, no. 6, Jun. 2002.
  12. R. J. Muirhead, Aspects of Multivariate Statistical Theory, John Wiley & Sons Inc., 1982.
  13. A. Zanella, M. Ciani and M. Z. Win, "On the marginal distribution of the eigenvalues of Wishart matrices," IEEE Transactions on Communications, vol. 57, no. 4, Apr. 2009.
  14. A. Zanella, M. Chiani and M. Z. Win, " Performance of MIMO MRC in correlated Rayleigh fading environments," Proceedings of Vehicular Technology Conference 2005, Stockholm, Sweden, May. 2005.
  15. I.S Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 7th Edition, Academic Press, 2007.