Mode Selection Technique Between Antenna Grouping and Beamforming for MIMO Communication Systems 


Vol. 34,  No. 2, pp. 147-154, Feb.  2009


PDF
  Abstract

Antenna grouping algorithm is hybrid of beamforming and spatial multiplexing. In antenna grouping system, we partition Nt transmit antennas into Nr groups and use beamforming in a group, spatial multiplexing between groups. We can transmit Nr data streams in the Nt×Nr antenna grouping system. With antenna grouping, we can achieve diversity gain through beamforming, and high spectral efficiency through spatial multiplexing. But if channel is ill-conditioned or there are some correlations between antennas, the performance of antenna grouping is seriously degraded and in that case, beamforming is the best transmit strategy. By selecting the antenna grouping mode when channel is well-conditioned and by selecting the beamforming mode when channel is ill-conditioned, we can prevent serious fluctuation of BER performance caused by varying channel condition and achieve the best BER performance. In this paper, we investigate mode selection algorithm which can select antenna grouping mode or beamforming mode. we also propose a simple mode selection criterion.

  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]

K. Kim and J. Lee, "Mode Selection Technique Between Antenna Grouping and Beamforming for MIMO Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 147-154, 2009. DOI: .

[ACM Style]

Kyungchul Kim and Jungwoo Lee. 2009. Mode Selection Technique Between Antenna Grouping and Beamforming for MIMO Communication Systems. The Journal of Korean Institute of Communications and Information Sciences, 34, 2, (2009), 147-154. DOI: .

[KICS Style]

Kyungchul Kim and Jungwoo Lee, "Mode Selection Technique Between Antenna Grouping and Beamforming for MIMO Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 147-154, 2. 2009.