DOI QR코드

DOI QR Code

A Measurement Study of Midamble based Cannel Estimation in IEEE 802.11p WAVE System

IEEE 802.11p WAVE 시스템에서 미드엠블을 이용한 채널추정 기법의 측정

  • 조웅 (중원대학교 컴퓨터시스템공학과)
  • Received : 2013.04.08
  • Accepted : 2013.05.20
  • Published : 2013.05.31

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) based IEEE 802.11 a/g systems which are widely used in wireless LAN carry out channel estimation in one time per packet since the systems use only preamble. Whereas, midamble based channel estimation supports continuous channel estimation by tracking the channel state information periodically. Using IEEE 802.11p Wireless Access in Vehicular Environments (WAVE) system, we analyze the performance of the proposed system via practical measurements. Based on these results, practical issues on midamble based channel estimation are investigated.

무선랜에서 널리 사용되는 OFDM기반의 IEEE 802.11a/g 시스템에서는 채널추정시 프리엠블 (preamble)만을 이용하기 때문에 한 패킷당 한 번의 채널추정을 수행한다. 미드엠블 (Midamble)을 이용한 채널추정은 기존의 프리엠블을 이용하는 방식에 비해 채널의 상태 정보를 주기적으로 추적함으로서 연속적인 채널추정이 가능하도록 한다. 본 논문에서는 IEEE 802.11p기반의 차량통신시스템에서 미드엠블을 이용한 채널추정기법의 성능을 실제 측정된 결과를 바탕으로 분석한다. 측정된 결과를 이용하여 실제 시스템에서 미드엠블을 이용한 채널추정기법의 적용 이슈에 대해 논의 한다.

Keywords

References

  1. IEEE Std 802.11p, IEEE standard for information technology-telecommunications and information exchange between systems-local and metropolitan area network-specific requirement, Part 11 Amendment 6: Wireless Access in Vehicular Environments, July 2010
  2. W. Cho, "Physical layer issues in vehicular communications", The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 7, No. 5, pp. 1229-1234, Oct. 2012.
  3. W. Cho, "Usage of RSSI in WAVE handover", The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 7, No. 6, pp. 1449-1454, Dec. 2012.
  4. IEEE Std 802.11, IEEE standard for information technology-telecommunications and information exchange between systems-local and metropolitan area network-specific requirement, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications, 2007
  5. S. S. Hwang, "Channel estimation based on LMS algorithm for MIMO-OFDM system", The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 7, No. 6, pp. 1455-1461, Dec. 2012.
  6. H. Chen and X. Chen, "Decision directed techniques for channel estimation in OFDM mobile systems", Proc. of Wireless Communication, Networking and Mobile Computing, September 2006, pp. 1-4.
  7. M. Dong, L. Tong, and B. M. Sadler, "Optimal pilot placement for channel tracking in OFDM", Proc. of Milcom, October 2002, Vol. 1, pp. 602-606.
  8. L. Cheng, B. E. Henty, D. D. Stancil, and F. Bau, "A measurement study of time-scaled 802.11a waveforms over the mobile-to-mobile vehicular channel at 5.9 GHz", IEEE Communication Magazine, Vol. 2, No. 4, pp. 84-91, May 2008.
  9. W. Cho, S. I. Kim, H. K. Choi, H. S. Oh, and D. Y. Kwak, "Performance evaluation of V2V/V2I communications: the effect of midamble insertion", Proc. of Int. Conf. on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic systems Technology, May 2009, pp. 793-797, 2007.

Cited by

  1. A study on the Analysis of Radio Characteristics about Communication Mode in a Road vol.15, pp.1, 2016, https://doi.org/10.12815/kits.2016.15.1.095