Abstract
The performance of large-scale cognitive radio (CR) networks with secondary users self-sustained by opportunistically harvesting radio-frequency (RF) energy from nearby primary transmissions is investigated. Using an advanced RF energy harvester, a secondary user is assumed to be able to collect ambient primary RF energy as long as it lies inside the harvesting zone of an active primary transmitter (PT). A variable power (VP) transmission mode is proposed, and a simple energy-based opportunistic spectrum access (OSA) strategy is considered, under which a secondary transmitter (ST) is allowed to transmit if its harvested energy is larger than a predefined transmission threshold and it is outside the guard zones of all active PTs. The transmission probability of the STs is derived. The coverage probabilities and the throughputs of the primary and the secondary networks, respectively, are characterized. The throughput can be increased by as much as 29%. Simulation results are provided to validate our analysis.
This work was supported in part by the NSFC under Grants 61271257 and 61328102, the National Research Foundation for the Doctoral Program of Higher Education of China under Grant 20120005110007.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
References
Visser, H.J., Vullers, R.J.M.: RF Energy Harvesting and Transport for Wireless Sensor Network Applications: Principles and Requirements. Proc. IEEE 101, 1410–1423 (2013)
Kingman, J.F.C.: Poisson Processes. Oxford University Press (1993)
Dhillon, H., Li, Y., Nuggehalli, P., Pi, Z., Andrews, J.: Fundamentals of Heterogeneous Cellular Networks with Energy Harvesting. IEEE Trans. Wireless Commun. 13, 2782–2797 (2014)
Lee, S., Zhang, R., Huang, K.: Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks. IEEE Trans. Wireless Commun. 12, 4788–4799 (2013)
Song, X., Yin, C., Liu, D., Zhang, R.: Spatial Throughput Characterization in Cognitive Radio Networks with Threshold-Based Opportunistic Spectrum Access. IEEE J. Sel. Areas Commun. 32, 2190–2204 (2014)
Haenggi, M., Ganti, R.K.: Interference in Large Wireless Networks. Found. Trends in Netw., 127–248 (2008)
Haenggi, M., Andrews, J., Baccelli, F., Dousse, O., Franceschetti, M.: Stochastic Geometry and Random Graphs for the Analysis and Design of Wireless Networks. IEEE J. Sel. Areas Commun. 27, 1029–1046 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Yao, Y., Song, X., Yin, C., Huang, S. (2015). Opportunistic Energy Harvesting and Energy-Based Opportunistic Spectrum Access in Cognitive Radio Networks. In: Weichold, M., Hamdi, M., Shakir, M., Abdallah, M., Karagiannidis, G., Ismail, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-24540-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-24540-9_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24539-3
Online ISBN: 978-3-319-24540-9
eBook Packages: Computer ScienceComputer Science (R0)