Optimal Transmission Time Allocation for RF-Powered Backscatter Cognitive Radio Networks 


Vol. 44,  No. 2, pp. 326-329, Feb.  2019
10.7840/kics.2019.44.2.326


PDF
  Abstract

We propose an optimal transmission time allocation scheme to maximize the energy efficiency of radio frequency(RF)-powered backscatter (BS) cognitive radio networks (CRNs) where the transmission time is divided for RF energy harvesting, spectrum sensing, and backscatter communications. The probability of false alarm and the probability of detection are considered in constructing the proposed scheme. In computer simulations, we confirmed the performance 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]

Y. M. Hwang, S. Y. Lee, Y. K. Sun, I. Sim, Y. Shin, D. I. Kim, J. Y. Kim, "Optimal Transmission Time Allocation for RF-Powered Backscatter Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 2, pp. 326-329, 2019. DOI: 10.7840/kics.2019.44.2.326.

[ACM Style]

Yu Min Hwang, Sun Yui Lee, Young Kyue Sun, Isaac Sim, Yoan Shin, Dong In Kim, and Jin Young Kim. 2019. Optimal Transmission Time Allocation for RF-Powered Backscatter Cognitive Radio Networks. The Journal of Korean Institute of Communications and Information Sciences, 44, 2, (2019), 326-329. DOI: 10.7840/kics.2019.44.2.326.

[KICS Style]

Yu Min Hwang, Sun Yui Lee, Young Kyue Sun, Isaac Sim, Yoan Shin, Dong In Kim, Jin Young Kim, "Optimal Transmission Time Allocation for RF-Powered Backscatter Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 2, pp. 326-329, 2. 2019. (https://doi.org/10.7840/kics.2019.44.2.326)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880