Next Article in Journal
Ground Thermal Diffusivity Calculation by Direct Soil Temperature Measurement. Application to very Low Enthalpy Geothermal Energy Systems
Next Article in Special Issue
Lightweight CoAP-Based Bootstrapping Service for the Internet of Things
Previous Article in Journal
An Electrochemiluminescence Immunosensor Based on Gold-Magnetic Nanoparticles and Phage Displayed Antibodies
Previous Article in Special Issue
Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(3), 305; doi:10.3390/s16030305

Leasing-Based Performance Analysis in Energy Harvesting Cognitive Radio Networks

and
†,*
College of Information Science and Engineering, Hunan University, Changsha, 410012, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Ingrid Moerman
Received: 30 December 2015 / Revised: 2 February 2016 / Accepted: 14 February 2016 / Published: 27 February 2016
(This article belongs to the Special Issue Intelligent Internet of Things (IoT) Networks)
View Full-Text   |   Download PDF [420 KB, uploaded 27 February 2016]   |  

Abstract

In this paper, we consider an energy harvesting cognitive radio network (CRN), where both of primary user (PU) and secondary user (SU) are operating in time slotted mode, and the SU powered exclusively by the energy harvested from the radio signal of the PU. The SU can only perform either energy harvesting or data transmission due to the hardware limitation. In this case, the entire time-slot is segmented into two non-overlapping fractions. During the first sub-timeslot, the SU can harvest energy from the ambient radio signal when the PU is transmitting. In order to obtain more revenue, the PU leases a portion of its time to SU, while the SU can transmit its own data by using the harvested energy. According to convex optimization, we get the optimal leasing time to maximize the SU’s throughput while guaranteeing the quality of service (QoS) of PU. To evaluate the performance of our proposed spectrum leasing scheme, we compare the utility of PU and the energy efficiency ratio of the entire networks in our framework with the conventional strategies respectively. The numerical simulation results prove the superiority of our proposed spectrum leasing scheme. View Full-Text
Keywords: cognitive radio; spectrum leasing; energy harvesting; optimal strategy; energy efficiency ratio cognitive radio; spectrum leasing; energy harvesting; optimal strategy; energy efficiency ratio
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zeng, F.; Xu, J. Leasing-Based Performance Analysis in Energy Harvesting Cognitive Radio Networks. Sensors 2016, 16, 305.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top