CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Optimal Paring of Spectrum Sensing Duration and Threshold for Energy-Harvesting CRNS

by D. Prabakar, P. Ahila
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 5
Year of Publication: 2015
Authors: D. Prabakar, P. Ahila
10.5120/21067-3737

D. Prabakar, P. Ahila . Optimal Paring of Spectrum Sensing Duration and Threshold for Energy-Harvesting CRNS. International Journal of Computer Applications. 119, 5 ( June 2015), 36-42. DOI=10.5120/21067-3737

@article{ 10.5120/21067-3737,
author = { D. Prabakar, P. Ahila },
title = { Optimal Paring of Spectrum Sensing Duration and Threshold for Energy-Harvesting CRNS },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 5 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number5/21067-3737/ },
doi = { 10.5120/21067-3737 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:16.967835+05:30
%A D. Prabakar
%A P. Ahila
%T Optimal Paring of Spectrum Sensing Duration and Threshold for Energy-Harvesting CRNS
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 5
%P 36-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Energy harvesting cognitive radio system where the secondary transmitter harvests energy either at transmitter or receiver end and it detects vacant channels from the used one and share it among the other users. This system operates under energy causality constraint it means average consumed energy should not exceed average harvest energy and collision constraint means the interference should not be occurred between the shared channels for protection of primary system. In this paper, we suggest a method to optimal pairing of sensing duration and energy detectors threshold to increase average throughput of the system by the use of energy harvesting system. To satisfy collision constraint, sensing duration must be kept smaller. Proposed algorithm use in this paper is Matched filter detection. The matched filter also referred to as coherent detector, is a sensing technique. It is very accurate since it maximizes the received signal-to-noise ratio (SNR). Matched filter correlates the signal with time shifted version and compares between the final output of matched filter and predetermined threshold will determine the PU presence.

References
  1. Omur Ozel, Kaya Tutuncuoglu, Jing Yang, Sennur Ulukus, and Aylin Yener, "Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies", IEEE Journal on selected areas in communications, 2011, pp. 1732–1743.
  2. V. Sharma, U. Mukherji, V. Joseph, and S. Gupta, "Optimal energy management policies for energy harvesting sensor nodes," IEEE Trans. Wireless Commun. , vol. 9, no. 4, pp. 1326–1336, Apr. 2010.
  3. O. Ozel and S. Ulukus, "Achieving AWGN capacity under stochastic energy harvesting," IEEE Trans. Inf. Theory, vol. 58, no. 10, pp. 6471– 6483, Oct. 2012.
  4. J. Yang and S. Ulukus, "Optimal packet scheduling in an energy harvesting communication system," IEEE Trans. Commun. , vol. 60, no. 1, pp. 220–230, Jan. 2012.
  5. O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus, and A. Yener, "Transmission with energy harvesting nodes in fading wireless channels: optimal policies," IEEE J. Sel. Areas Commun. , vol. 29, no. 8, pp. 1732–1743, Sept. 2011.
  6. C. K. Ho and R. Zhang, "Optimal energy allocation for wireless communications with energy harvesting constraints," IEEE Trans. Signal Process. , vol. 60, no. 9, pp. 4808–4818, Apr. 2012.
  7. R. W. Broderson, A. Wolisz, D. Cabric, S. M. Mishra and D. Willkomm, "CORVUS: A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum", White Paper, University of California, Berkeley, Technical Report, 2004.
  8. B. Medepally and N. Mehta, "Voluntary energy harvesting relays and selection in cooperative wireless networks," IEEE Trans. Wireless Commun. , vol. 9, no. 11, pp. 3543–3553, Nov. 2010.
  9. Seunghyun Lee, Rui Zhang, and Kaibin Huang, "Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks", IEEE Transactin on wireless communications, 2013, pp. 4788–4799.
  10. S. Park, H. Kim, and D. Hong, "Cognitive radio networks with energy harvesting," IEEE Trans. Wireless Commun. , vol. 12, no. 3, pp. 1386–1397, Mar. 2013.
  11. S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications", IEEE Journal on Selected Areas in Communications, vol. 23, 2005, pp. 201–220.
  12. Jeya Pradha J, Sanket S. Kalamkar,, "Energy Harvesting Cognitive Radio with Channel-Aware Sensing Strategy", Student Member, IEEE, and Adrish Banerjee, Senior Member, IEEE, 2009, pp. 1–4.
  13. Federal Communications Commission (FCC), Spectrum Policy Task Force, ET Docket no. 2, 2002, pp. 1-135.
  14. Bhargav Medepally, Neelesh B. Mehta, "Voluntary Energy Harvesting Relays and Selection in Cooperative Wireless Networks", DRDO–IISc Programme on Advanced Research in Mathematical Engineering, 2011, pp. 1–28
  15. A. Ghasemi and E. S. Sousa, "Collaborative Spectrum Sensing for Opportunistic Access in Fading Environments", Ist IEEE Symposium on New Frontiers in Dynamic Spectrum Access Network, 2005, pp. 131–136.
  16. J. Paradiso and T. Starner, "Energy scavenging for mobile and wireless electronics," IEEE Pervasive Comput. , vol. 4, no. 1, pp. 18–27, Jan. -Mar. 2005.
  17. C. Huang, R. Zhang, and S. Cui, "Throughput maximization for the gaussian relay channel with energy harvesting constraints," IEEE J. Sel. Areas Commun. , vol. 31, no. 8, pp. 1469–1479, Aug. 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio networks spectrum sensing energy-harvesting sensing duration matched filter.

Powered by PhDFocusTM