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

  • 제38A권8호
  • /
  • Pages.712-723
  • /
  • 2013
  • /
  • 1226-4717(pISSN)
  • /
  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지
DOI QR코드

DOI QR Code

MIMO 기술의 진화

Evolution of MIMO Technology

  • 투고 : 2013.07.08
  • 심사 : 2013.08.01
  • 발행 : 2013.08.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

근래 전 세계적으로 스마트 폰의 수요가 급증하면서 기존의 3G 표준에 비해 높은 데이터 전송률을 제공하는 long term evolution (LTE) 서비스가 활발히 보급되고 있다. 특히, 이동통신 강국인 우리나라는 LTE의 최신 릴리즈인 LTE-Advanced (LTE-A) 서비스를 최근 시작하였다. 높은 데이터 전송률을 얻기 위한 LTE와 LTE-A 시스템의 핵심기술로 다중입출력 안테나 (multiple-input-multiple-output; MIMO)기술을 들 수 있다. MIMO 기술은 주파수와 전력의 증가 없이 안테나 수에 비례하는 채널용량을 얻을 수 있는 장점으로 큰 주목을 받아왔으며 다양한 측면에서 진화 발전이 이루어지고 있다. 본 논문에서는 단일사용자 MIMO에서 다중사용자 MIMO, 그리고 최근 주목받고 있는 대용량 MIMO까지 MIMO기술의 이론적 배경 및 시스템을 구현하기 위해 필요한 고려사항들을 살펴본다.

Recent exploration of smart-phone user is fueling the deployment of long term evolution (LTE) service that offers higher data rates service over 3G HSPA networks. In particular, Korea, mobile powerhouse, recently launched the service of LTE-Advanced (LTE-A) which is the latest release in LTE standard. Multiple-input-multiple-output (MIMO) technology is the one of key enablers for LTE and LTE-A for achieving high data rate. MIMO technology has received much attention since it is possible to achieve channel capacity in proportion to the number of antennas without increasing frequency and power. In this paper, we overview of the theoretical background of MIMO technology regarding from single-user MIMO, multiuser MIMO, and massive MIMO and design considerations to implement the communication system.

키워드

참고문헌

  1. Verizon, Verizon wireless, Retrieved Aug., 11, 2012, from http://network4g.verizonwireless.co m/#/4g-network-verizon-wireless.
  2. D. Martin-Sacristan, J. F. Monserrat, J. Cabrejas-Penuelas, D. Calabuig, S. Garrigas, and N. Cardona, "On the way towards fourth generation mobile: 3GPP LTE and LTE-Advanced," EURASIP J. Wireless Commun. Networking, vol. 2009, Article no. 4, Mar. 2009.
  3. J. Hoydis, S. T. Brink, and M. Debbah, "Massive MIMO: how many antennas do we need?," in Proc. Allerton Conf. Commun. Control Comput., pp. 545-550, Monticello, U.S.A., Sep. 2011.
  4. T. L. Marzetta, "Noncooperative cellular wireless with unlimited numbers of base station antennas," IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3590-3600, Nov. 2012.
  5. H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, "Uplink power efficiency of multiuser MIMO with very large antenna arrays," in Proc. Allerton Conf. Commun. Control Comput., pp. 1272-1279, Monticello, U.S.A., Sep. 2011.
  6. G. J. Foschini and M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas," Wireless Personal Commun., vol. 6, no. 3, pp. 311-335, Mar. 1998. https://doi.org/10.1023/A:1008889222784
  7. E. Telatar, "Capacity of multi-antenna Gaussian channels," European Trans. Telecommun. (ETT), vol. 10, no. 6, pp. 585-596, Nov. 1999. https://doi.org/10.1002/ett.4460100604
  8. 3GPP TSG RAN WG1 #55, Common reference symbol mapping/signaling for 8 transmit antenna, R1-090288, Jan. 2009.
  9. T. M. Cover, "Broadcast channels," IEEE Trans. Inf. Theory, vol. IT-18, no. 1, pp. 2-14, Jan. 1972.
  10. M. Costa, "Writing on dirty paper," IEEE Trans. Inf. Theory, vol. IT-29, no. 3, pp. 439-441, May 1983.
  11. S. Vishwanath, N. Jindal, and A. Goldsmith, "Duality, achievable rates, and sum-rate capacity of gaussian MIMO broadcast channels," IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2658-2667, Oct. 2003. https://doi.org/10.1109/TIT.2003.817421
  12. H. Weingarten, Y. Steinberg, and S. Shamai, "The capacity region of the Gaussian multiple-input multiple-output broadcast channel," IEEE Trans. Inf. Theory, vol. 52, no. 9, pp. 3936-3964, Sep. 2006. https://doi.org/10.1109/TIT.2006.880064
  13. M. Sharif and B. Hassibi, "On the capacity of MIMO broadcast channels with partial side information," IEEE Trans. Inf. Theory, vol. 51, no. 2, pp. 506-522, Feb. 2005. https://doi.org/10.1109/TIT.2004.840897
  14. C. B. Peel, B. M. Hochwald, and A. L. Swindlehurst, "A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization," IEEE Trans. Commun., vol. 53, no. 1, pp. 195-202, Jan. 2005. https://doi.org/10.1109/TCOMM.2004.840638
  15. J. Park, B. Lee, and B. Shim, "A MMSE vector precoding with block diagonalization for multiuser MIMO downlink," IEEE Trans. Commun., vol. 60, no. 2, pp. 569-577, Feb. 2012. https://doi.org/10.1109/TCOMM.2011.122111.100681
  16. C. K. Au-Yeung and D. J. Love, "On the performance of random vector quantization limited feedback beamforming in a MISO system," IEEE Trans. Wireless Commun., vol. 6, no. 2, pp. 458-462, Feb. 2007. https://doi.org/10.1109/TWC.2007.05351
  17. N. Jindal, "MIMO broadcast channels with finite rate feedback," IEEE Trans. Inf. Theory, vol. 52, no. 11, pp. 5045-5059, Nov. 2006. https://doi.org/10.1109/TIT.2006.883550
  18. H. Kim and Y. Han, "A proportional fair scheduling for multicarrier transmission systems," IEEE Commun. Lett., vol. 9, no. 3, pp. 210-212, Mar. 2005. https://doi.org/10.1109/LCOMM.2005.03014
  19. T. Girici, C. Zhu, J. R. Agre, and A. Epheremides, "Proportional fair scheduling algorithm in OFDMA-based wireless systems with QoS constraints," J. Commun. Networks (JCN), vol. 12, no. 1, pp. 30-42, Feb. 2012.
  20. 3GPP TSG RAN WG1 #68, Achievable gains with dedicated pilots in a four branch MIMO system, R1-120354, Feb. 2012.
  21. 3GPP TSG RAN WG1 #61, Way forward on UE feedback, R1-103332, May 2010.
  22. S. Akoum, O. El Ayach, and R. W. Heath Jr., "Coverage and capacity in mmWave cellular systems," in Proc. 46th Asilomar Conf. Signals Syst. Comput. (Asilomar), pp. 688-692, Pacific Grove, U.S.A., Nov. 2012.
  23. F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufyesson, "Scaling up MIMO: opportunities and challenges with very large arrays," IEEE Signal Process. Mag., vol. 30, no. 1, pp. 40-60, Jan. 2013.
  24. H. Q. Ngo, T. L. Marzetta, and E. G. Larsson, "Analysis of the pilot contamination effect in very large multicell multiuser MIMO systems for physical channel models," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), pp. 3464-3467, Prague, Czech Republic, May 2011.
  25. B. Shim and I. Kang, "Sphere decoding with a probabilistic tree pruning," IEEE Trans. Signal Process., vol. 56, no. 10, pp. 4867-4878, Oct. 2008. https://doi.org/10.1109/TSP.2008.923808

피인용 문헌

  1. Verification method for 4x4 MIMO algorithm implementation and results vol.19, pp.5, 2015, https://doi.org/10.6109/jkiice.2015.19.5.1157
  2. Design and Implementation of Small Sized 4×4 Butler Matrix vol.16, pp.6, 2018, https://doi.org/10.14801/jkiit.2018.16.6.37