Downlink Scheduling Algorithm Based on Probability of Incumbent User Presence for Cognitive Radio Networks 


Vol. 34,  No. 2, pp. 178-187, Feb.  2009


PDF
  Abstract

Cognitive radio (CR) technology is to maximize the spectrum utilization by allocating the unused spectrums to the unlicensed users. In CR environment, it is strictly required for the unlicensed users not to interference with the licensed users. Thus, it is essential to rely on the scheduling algorithm to avoid the interference when utilizing spectrum holes that are changing in time and frequency. However, the existing scheduling algorithms that are applied for the wireless communication environment considering the licensed users only is not appropriate for CR environment. In this paper, we propose downlink scheduling algorithm based on probability of incumbent user presence for cognitive radio networks. With computer simulations, it is shown that the proposed scheduling algorithm outperforms the conventional scheduling algorithm.

  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. Heo, J. Kim, J. Lee, J. Hwang, W. Lee, Y. Shin, M. Yoo, "Downlink Scheduling Algorithm Based on Probability of Incumbent User Presence for Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 178-187, 2009. DOI: .

[ACM Style]

Daecheol Heo, Jungjong Kim, Jungwon Lee, Junho Hwang, Woncheol Lee, Yoan Shin, and Myungsik Yoo. 2009. Downlink Scheduling Algorithm Based on Probability of Incumbent User Presence for Cognitive Radio Networks. The Journal of Korean Institute of Communications and Information Sciences, 34, 2, (2009), 178-187. DOI: .

[KICS Style]

Daecheol Heo, Jungjong Kim, Jungwon Lee, Junho Hwang, Woncheol Lee, Yoan Shin, Myungsik Yoo, "Downlink Scheduling Algorithm Based on Probability of Incumbent User Presence for Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 2, pp. 178-187, 2. 2009.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880