Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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A Joint ML and ZF/MMSE Detection Algorithm in Uplink for BS Cooperative System

셀간 협력 통신을 위한 상향링크 환경에서의 ML 및 ZF/MMSE를 결합한 검출 기술

  • Received : 2011.05.13
  • Accepted : 2011.06.30
  • Published : 2011.06.30
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Abstract

In this paper, we address the issue of joint detection schemes for uplink cellular system when base station cooperation is possible for multi-user detection in multi-cell scenario. The ZF, ML, MMSE and SIC detection are analyzed and evaluated as a conventional scheme. ML attains the optimal performance but the complexity increases exponentially, ZF/MMSE have simple structure but have poor detection performance and SIC has better performance but it has large complexity and potential of the error propagation. However, they need the increased decoder complexity as the number of iteration is increased. We propose a new joint ML and ZF/MMSE detection scheme, which combines the partial ML decoding and ZF/MMSE detection, in order to decrease the decoder complexity. Simulation results show that the proposed scheme attains same or a little bit better BER performance and expect reduced decoder complexity, specially in the case of large number of Base Station are cooperated each other.

본 논문에서는 최근 4세대 이동통신에서 논의 되고 있는 기술인 셀 간 협력 통신이 가능한 다중 셀 환경에서 상향링크에서의 다중 사용자 신호 검출기술에 대해서 다루었다. 먼저 기존 검출 기술로 ML, ZF, MMSE 그리고 SIC 등을 다루었고, 보통 ML은 최적의 성능을 보이지만, 복잡도가 지수적으로 증가하며, ZF나 MMSE는 간단하지만 성능이 떨어지며, SIC는 복잡하고 오류전파 현상이 발행 할 수 있는 문제점을 가지고 있다. 이에 기존의 ZF/MMSE 에 비해서는 성능 개선이 이루어지면서, 복잡도를 유지 또는 감소시킬 수 있는 구조 제안을 위해서 ZF/MMSE 방식과 ML 의 적용구조를 단순화 시킨 부분 ML 복호 방식을 결합한 검출 방식을 제안하였다. 모의실험 결과, 제안방식은 ZF/MMSE 기반의 SIC 방식에 비해 BER 성능이 개선 또는 유지 되었으며, 복잡도 측면에서 감소하는 효과를 보였으며, 또한 복잡도 감소는 협력 기지국 및 안테나 수가 증가할수록 더 감소 효과가 커질 수 있음을 알 수 있었다.

Keywords

References

  1. 권수갑, "4G 소요 기술 개발 동향", 전자기술, 22권 8호, pp. 9-17 2009. 8.
  2. Hardjawana, W., Vucetic, B., Yonghui Li, "Multi-User Cooperative Base Station Systems With Joint Precoding and Beamforming", IEEE Journal Of Selected Topics In Singnal Processing, Vol. 3, No. 6, Dec. 2009, pp. 1079-1093 https://doi.org/10.1109/JSTSP.2009.2036953
  3. Balachandran, K., Kang, J.H., Karakayali, K., Rege, K.M., "NICE: A Network Interference Cancellation Engine for Opportunistic Uplink Cooperation in Wireless Networks", IEEE Transactions On Wireless Communications, Vol. 10, No. 2, Feb. 2011, pp. 540-549 https://doi.org/10.1109/TWC.2010.120610.100169
  4. Dartmann, G., Afzal, W., Xitao Gond, Ascheid, G., "Low complexity cooperative downlink beamforming in multiuser multicell networks", Commnication Technology (ICCT), 2012 12th IEEE International Conference on, ", Nov. 2010, pp. 717-721
  5. Marsch, P., Fettweis, G., "On Uplink Network MIMO under a Constrained Backhaul and Imperfect Channel Knowledge", Communications, 2009. ICC '09.IEEE International Conference on, pp.1-6, June. 2009
  6. Papadogiannis, A., Bang, H.J., Gesbert, D., Hardouin, E., "Efficient Selective Feedback Design for Multicell Cooperative Networks", IEEE Transactions On Vehicular Technology, VOL. 60, NO. 1, pp. 196-205, Jan. 2011 https://doi.org/10.1109/TVT.2010.2089707
  7. Frank, P., Muller, A., Speidel, J., "Inter-Site Joint Detection with Reduced Backhaul Capacity Requirements for the 3GPP LTE Uplink", Vehicular Technology Conference Fall-2010, pp. 1-5, Sept. 2010
  8. Rong Zhang, Hanzo, L., "Cooperative Downlink Multicell Preprocessing Relying on Reduced-Rate Back-Haul Data Exchange", IEEE Transactions On Vehicular Technology, vol. 60 No. 2, pp. 539-545, Feb. 2011 https://doi.org/10.1109/TVT.2010.2093935
  9. Krishnan, G.K., Reddy, V.U, "High performance low complexity receiver for v-blast", Signal Processing Advanced in Wireless Communications, 2007.SPAWC 2007. IEEE 8th Workshop on, pp.1-5, June. 2007
  10. Weiyu Xu, Youzheng Wang, Zucheng Zhou, Jing Wang, "A computationally efficient exact ML sphere decoder", Global Telecommunications Conference, 2004. GLOBECOM '04.IEEE, pp. 2594-2598, Dec. 2004
  11. Gang Wang, Dandan Wang, Daoben Li, "An efficient ZF-SIC detection algorithm in MIMO CDMA system", Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on, vol .2, pp. 1708-1711, Sept. 2003
  12. 강병권, 한기관, "MMSE와 IC 기법을 이용한 SFBC-OFDM 시스템의 성능 분석" 한국통신학회논문지, '08-8 vol. 33 No.8, pp. 291-297, Aug. 2008
  13. Wolniansky, P.W., Foschini, G.J., Golden, G.D., Valenzuela, R.A., "V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel" 1998 URSI International Symposium, Signals, Systems, and Electronics, 1998. ISSSE 98., pp. 295-300, Oct. 1998
  14. Shengbing Cai, Zhemin Duan, Jin Gao, "Comparison of Different Virtual MIMO Detection Schemes for 3GPP LTE", Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on, pp. 1-5, Sept. 2009
  15. "802.16m Evaluation Methodology Document", http://www.IEEE802.org/16/tgm, Jan. 2009
  16. Gilbert Strang, "Linear Algebra and Its Applications-4th edition", International Thomson Business Press, Jan. 2006
  17. Jungwon Lee, Ji-Woong Choi, Hui-Ling Lou, Jongsun Park, "Soft MIMO ML Demodulation Based on Bitwise Constellation Partitioning", IEEE Communications Letters, Vol. 13, pp. 736-738, Oct. 2009 https://doi.org/10.1109/LCOMM.2009.091320