Orthogonal Multi–beam Techniques for Multi-user Diversity and Multiplexing Gain in Packet-based Wireless Systems 


Vol. 33,  No. 3, pp. 286-295, Mar.  2008


PDF
  Abstract

In this paper, we consider the use of orthogonal multiple beams (OMBs) to simultaneously achieve multi-user diversity and multiplexing gain in a packet-based wireless system. Previous OMB scheme considers the use of a fixed number of multiple beams equal to the number of transmit antennas. However, unless the number of active users is sufficiently large, the use of a fixed number of multiple beams may not provide desired performance due to the interference signal transmitted through other beams, being even worse than the use of a single beam. To alleviate this problem, we consider the adjustment of the number of beams in use to maximize the spectral efficiency according to the operating condition. Simulation results show the validity of the proposed scheme.

  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]

D. Oh and Y. Lee, "Orthogonal Multi–beam Techniques for Multi-user Diversity and Multiplexing Gain in Packet-based Wireless Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 3, pp. 286-295, 2008. DOI: .

[ACM Style]

Dong-Chan Oh and Yong-Hwan Lee. 2008. Orthogonal Multi–beam Techniques for Multi-user Diversity and Multiplexing Gain in Packet-based Wireless Systems. The Journal of Korean Institute of Communications and Information Sciences, 33, 3, (2008), 286-295. DOI: .

[KICS Style]

Dong-Chan Oh and Yong-Hwan Lee, "Orthogonal Multi–beam Techniques for Multi-user Diversity and Multiplexing Gain in Packet-based Wireless Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 3, pp. 286-295, 3. 2008.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880