Efficient Training Sequence Structure for Adaptive Linear Multiuser Detectors in Space-Time Block Coded Multiuser Systems 


Vol. 30,  No. 6, pp. 481-489, Jun.  2005


PDF
  Abstract

In this letter, we propose an efficient training sequence structure for adaptive linear multiuser detectors in space-time block coded multiuser systems, by exploiting a particular property of the minimum mean square error multiuser detectors used in these systems. The proposed structure wastes less overall system capacity than the straightforward training structure, without any corresponding loss of performance, as confirmed by the simulation results.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

H. C. Hwang, S. H. Shin, H. T. Seok, H. K. Lee, D. K. Yoo, K. S. Kwak, "Efficient Training Sequence Structure for Adaptive Linear Multiuser Detectors in Space-Time Block Coded Multiuser Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 481-489, 2005. DOI: .

[ACM Style]

Hyeon Chyeol Hwang, Seung Hoon Shin, Hyun Taek Seok, Hyung Ki Lee, Dong Kwan Yoo, and Kyung Sup Kwak. 2005. Efficient Training Sequence Structure for Adaptive Linear Multiuser Detectors in Space-Time Block Coded Multiuser Systems. The Journal of Korean Institute of Communications and Information Sciences, 30, 6, (2005), 481-489. DOI: .

[KICS Style]

Hyeon Chyeol Hwang, Seung Hoon Shin, Hyun Taek Seok, Hyung Ki Lee, Dong Kwan Yoo, Kyung Sup Kwak, "Efficient Training Sequence Structure for Adaptive Linear Multiuser Detectors in Space-Time Block Coded Multiuser Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 481-489, 6. 2005.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880