An Approach to Improve Achievable Secondary Throughput for RF-powered Backscatter Cognitive Radio Networks 


Vol. 44,  No. 9, pp. 1702-1712, Sep.  2019
10.7840/kics.2019.44.9.1702


PDF
  Abstract

To improve the achievable throughput, we consider the application of the ambient backscatter communications with which the secondary transmitter (ST) can transmit information using a negligible amount of energy. In RF-powered backscatter cognitive radio networks, the ST can charge energy by absorbing the primary signal and can also convey data bits by reflecting the energy received at the antenna. In this paper, to support efficient energy replenishment, we assume the operation mode, i.e., energy harvesting or ambient backscattering, is stochastically selected by the controller when the primary channel is detected as busy. Without additional energy supply, the ST transmits data using the harvested energy when the primary channel becomes idle. Therefore, the residual energy at the battery will change with an operation mode, and we derive the transmission and backscatter throughputs considering the available energy. Then, we develop a level-independent quasi-birth-and-death (QBD) process based energy accumulation model to derive the stationary probabilities of energy states. To achieve further improvements on the secondary throughput, we propose an energy level-dependent scheme so that the ST can flexibly control the selection probability at each energy state, and build a level-dependent QBD based energy accumulation model. Finally, Monte-Carlo simulation is performed to validate the stationary probabilities of energy states and to compare the achievable secondary throughputs between level-independent and level-dependent schemes.

  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]

S. Wu, J. Y. Kim, D. I. Kim, Y. Shin, "An Approach to Improve Achievable Secondary Throughput for RF-powered Backscatter Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1702-1712, 2019. DOI: 10.7840/kics.2019.44.9.1702.

[ACM Style]

Shanai Wu, Jin Young Kim, Dong In Kim, and Yoan Shin. 2019. An Approach to Improve Achievable Secondary Throughput for RF-powered Backscatter Cognitive Radio Networks. The Journal of Korean Institute of Communications and Information Sciences, 44, 9, (2019), 1702-1712. DOI: 10.7840/kics.2019.44.9.1702.

[KICS Style]

Shanai Wu, Jin Young Kim, Dong In Kim, Yoan Shin, "An Approach to Improve Achievable Secondary Throughput for RF-powered Backscatter Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1702-1712, 9. 2019. (https://doi.org/10.7840/kics.2019.44.9.1702)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880