Projection of Spatial Correlation-Based Antenna Selection for Cognitive Radio Systems in Correlated Channels 


Vol. 37,  No. 1, pp. 8-16, Jan.  2012


PDF
  Abstract

Recent work has been shown that cognitive radio systems with multiple antenna at both transmitter and receiver are able to improve performance of secondary users. In such system, the main drawback is the increased complexity and raised cost as the number of antennas increase. It is desirable to apply antenna selection which select a subset of the available antennas so as to solve these problems. In this paper, we consider antenna selection method for cognitive radio systems in correlated channel from the IEEE 802.11n. For a multiple-input multiple-output(MIMO) system with more antennas at transmitter than the receiver, we select the same number of transmit antennas as that of receive antennas. The exhaustive search for optimal antenna becomes impractical. We present criterion for selecting subset in terms of projection of channel correlation vector to increase performance of secondary user with decreasing interference at primary user.

  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]

J. Cho, S. Jang, W. Jung, J. Kim, "Projection of Spatial Correlation-Based Antenna Selection for Cognitive Radio Systems in Correlated Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 1, pp. 8-16, 2012. DOI: .

[ACM Style]

Jae-bum Cho, Sung-jeen Jang, Won-Sik Jung, and Jae-moung Kim. 2012. Projection of Spatial Correlation-Based Antenna Selection for Cognitive Radio Systems in Correlated Channels. The Journal of Korean Institute of Communications and Information Sciences, 37, 1, (2012), 8-16. DOI: .

[KICS Style]

Jae-bum Cho, Sung-jeen Jang, Won-Sik Jung, Jae-moung Kim, "Projection of Spatial Correlation-Based Antenna Selection for Cognitive Radio Systems in Correlated Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 1, pp. 8-16, 1. 2012.