DOI QR코드

DOI QR Code

Statistical Characteristic Analysis of the Spatial Channel Model for Performance Evaluation of MIMO Systems

MIMO 송수신 시스템 성능 평가를 위한 공간 채널 모델의 통계적 특성 분석

Shin, Junsik;Suh, Junyeub;Kang, Hosik;Sung, Wonjin
신준식;서준엽;강호식;성원진

  • Received : 2015.04.20
  • Accepted : 2015.07.27
  • Published : 2015.08.31

Abstract

MIMO systems utilizing multiple antenna transmission and reception is one of the key technologies to enhance the capacity of 5G wireless communications. In order to obtain an appropriate performance evaluation of MIMO techniques, the usage of wireless channel model reflecting spatial channel characteristics is required, such as the 3-dimensional spatial channel model(3D SCM) proposed by 3GPP TR36.873 documentation. In this paper, we implement and verify the channel simulation environment based on 3D SCM, to present and compare the characteristics of UMi and UMa environments. We also apply MIMO transmission to the UMa scenario to investigate the channel correlation among antenna elements with different array distances and to identify the corresponding throughput changes. By evaluating the channel power correlations for randomly distributed users within the sector for different horizontal and vertical antenna distances, we present the statistical characteristics which determine the transmission performance under the SCM environment.

Keywords

MIMO;Spatial Channel Model;3GPP;UMi;UMa;TR36.873

References

  1. 김동기, "5세대 이동통신(5G) R&D 현황 및 추진방향", 한국통신학회지, 31(1), pp. 23-28, 2013년 12월.
  2. 안재영, 송평중, "3GPP 기반 5G 이동통신 기술 발전 전망", 한국통신학회지(정보와 통신), 30(12), pp. 37- 50, 2013년 11월.
  3. J. Chen, T. G. Pratt, "Energy efficiency of space and polarization MIMO communications with packet erasures over wireless fading channels", IEEE Transactions on Wireless Commun., vol. 13, no. 6, pp. 6657-6569, Dec. 2014.
  4. H. Yan, G. Shen, R. Zetik, O. Hirsch, and R. S. Thoma, "Ultra-wideband MIMO ambiguity function and its factorability", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 504-519, Jan. 2013. https://doi.org/10.1109/TGRS.2012.2201486
  5. C. Gao, Y. Shi, Y. T. Hou, and S. Kompella, "On the throughput of MIMO-empowered multihop cognitive radio networks", IEEE Transactions on Mobile Computing, vol. 10, no. 11, pp. 1505-1519, Nov. 2011. https://doi.org/10.1109/TMC.2011.80
  6. U. Oruthota, O. Tirkkonen, "Link adaptation of precoded MIMO-OFDMA system with I/Q interference", IEEE Transaction on Commun., vol. 63, no. 3, pp. 780-790, Mar. 2015. https://doi.org/10.1109/TCOMM.2015.2391180
  7. 3GPP, TR 36.873, "Technical specification group radio access network; Study on 3D channel model for LTE (Release 12)".
  8. 3GPP, R1-140326, "Initial results for phase-2 calibation".
  9. 3GPP, TR 25.996, "Technical specification group radio access network; Spatial channel model for multiple-input multiple-output simulations(Release 6)".

Acknowledgement

Supported by : 한국연구재단