한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

하향 링크 레일리 감쇄 채널에서의 채널 상태 정보 궤환 지연을 고려한 효율적인 적응 전송 기법

An Efficient Adaptive Modulation and Coding Scheme on Downlink Rayleigh Fading Channels Considering Channel-State-Information Feedback Delay

  • 이두호 (연세대학교 전기전자공학과) ;
  • 황해광 (연세대학교 전기전자공학과) ;
  • 상영진 (연세대학교 전기전자공학과) ;
  • 김광순 (연세대학교 전기전자공학과)
  • 발행 : 2006.11.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

하향 링크 이동통신 시스템에서, 채널 추정 시점과 실제 전송 시점 사이의 시간 지연으로 인해 채널 상태 정보의 정확도가 떨어지게 되고 이는 성능 열화로 이어진다. 이를 극복하고 전송률을 극대화하기 위해 채널 예측이 필수적이다. 본 논문에서는 채널 예측을 통한 적응 전송 기법을 제안하고 성능을 분석한다. 모의 실험을 통해 제안한 기법이 궤환 지연으로 인한 성능 열화를 극복하는데 효율적임을 보였다.

In downlink of mobile communication systems, the feedback delay between channel estimation and actual transmission causes inaccuracy in channel-state-information (CSI) and this results in performance degradation. In order to overcome this phenomenon, channel prediction is inevitable. In this paper, an adaptive transmission scheme based on channel prediction is proposed and its performance is evaluated. From simulation results, it is shown that the performance degradation due to the feedback delay is successfully mitigated by using the proposed scheme.

키워드

참고문헌

  1. J.F. Hayes, 'Adaptive feedback communications,' IEEE Trans. Commun. Technol., vol. COM-16, pp. 29-34, Feb. 1968
  2. B. Vucetic, 'An adaptive coding scheme for time-varying channels,' IEEE Trans. Commun., vol. 39, pp. 653-663, May 1991 https://doi.org/10.1109/26.87156
  3. A.J. Goldsmith and P. Varaiya, 'Capacity of fading channels with channel side information,' IEEE Trans. Inform. Theory, vol. 43,pp. 1986-1992, Nov. 1997 https://doi.org/10.1109/18.641562
  4. A.J. Goldsmith and S. Chua, 'Variable-rate varialie-power MQAM for fading channels,' IEEE Trans. Commun., vol. 45, pp. 1218-1230, Oct. 1997 https://doi.org/10.1109/26.634685
  5. S. Flahati, A. Svensson, T. Ekman, and M. Sternad, 'Adaptive modulation systems for predicted wireless channels,' IEEE Trans. Commun., vol. 52, pp. 307-316, Feb. 2004 https://doi.org/10.1109/TCOMM.2003.822715
  6. G.E. Oien, H. Holm, and K.J. Hole, 'Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading,' IEEE Trans. Veh. Tech., vol. 53, pp. 758-769, May. 2004 https://doi.org/10.1109/TVT.2004.827156
  7. C.W. Therrien, Discrete Random Signals and Statistical Signal Processing, Prentice-Hall, Englewood Cliffs NJ, 1992
  8. K.S. Kim, 'Adaptive modulation and power allocation technique for LDPC-coded MIMOOFDMA cellular systems,' IEICE Trans. Commun., vol. E88-B, pp.4410-4412, Jan. 2006 https://doi.org/10.1093/ietcom/e88-b.11.4410
  9. J.G. Proakis, Digital Communications, McGraw Hill, NY, pp. 41-44, 2001
  10. J.M. Torrance and L. Hanzo, 'Optimization of switching levels for adaptive modulation in slow Rayleigh fading,' Electr. Lett., vol. 32, pp. 1167-1169, Jun. 1996 https://doi.org/10.1049/el:19960799
  11. A. Duel-Hallen, S. Hu, and H. Hallen, 'Long-range prediction of fading signals: Enabling adapting transmission for mobile radio channels,' IEEE Signal Process. Mag., vol. 17, pp. 62-75, May 2000 https://doi.org/10.1109/79.841729