LAPSE:2019.0077
Published Article
LAPSE:2019.0077
Multislot Simultaneous Spectrum Sensing and Energy Harvesting in Cognitive Radio
Xin Liu, Zhenyu Na, Min Jia, Xuemai Gu, Xiaotong Li
January 7, 2019
In cognitive radio (CR), the spectrum sensing of the primary user (PU) may consume some electrical power from the battery capacity of the secondary user (SU), resulting in a decrease in the transmission power of the SU. In this paper, a multislot simultaneous spectrum sensing and energy harvesting model is proposed, which uses the harvested radio frequency (RF) energy of the PU signal to supply the spectrum sensing. In the proposed model, the sensing duration is divided into multiple sensing slots consisting of one local-sensing subslot and one energy-harvesting subslot. If the PU is detected to be present in the local-sensing subslot, the SU will harvest RF energy of the PU signal in the energy-harvesting slot, otherwise, the SU will continue spectrum sensing. The global decision on the presence of the PU is obtained through combining local sensing results from all the sensing slots by adopting “Or-logic Rule”. A joint optimization problem of sensing time and time splitter factor is proposed to maximize the throughput of the SU under the constraints of probabilities of false alarm and detection and energy harvesting. The simulation results have shown that the proposed model can clearly improve the maximal throughput of the SU compared to the traditional sensing-throughput tradeoff model.
Keywords
cognitive radio (CR), detection probability, energy harvesting, spectrum sensing, throughput
Suggested Citation
Liu X, Na Z, Jia M, Gu X, Li X. Multislot Simultaneous Spectrum Sensing and Energy Harvesting in Cognitive Radio. (2019). LAPSE:2019.0077
Author Affiliations
Liu X: School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China; Communication Research Center, Harbin Institute of Technology, Harbin 150080, China [ORCID]
Na Z: School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
Jia M: Communication Research Center, Harbin Institute of Technology, Harbin 150080, China
Gu X: Communication Research Center, Harbin Institute of Technology, Harbin 150080, China
Li X: School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China
[Login] to see author email addresses.
Journal Name
Energies
Volume
9
Issue
7
Article Number
E568
Year
2016
Publication Date
2016-07-21
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9070568, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.0077
This Record
External Link

doi:10.3390/en9070568
Publisher Version
Download
Files
[Download 1v1.pdf] (837 kB)
Jan 7, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
524
Version History
[v1] (Original Submission)
Jan 7, 2019
 
Verified by curator on
Jan 7, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.0077
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version