CFP last date
20 May 2024
Reseach Article

Distance based an Efficient Transmit Power Control Scheme in Cognitive Radio System with Multiple Antennas

by Sandeep Kumar Jain, Manoranjan Rai Bharti, Amardip Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 21
Year of Publication: 2013
Authors: Sandeep Kumar Jain, Manoranjan Rai Bharti, Amardip Kumar
10.5120/12668-9382

Sandeep Kumar Jain, Manoranjan Rai Bharti, Amardip Kumar . Distance based an Efficient Transmit Power Control Scheme in Cognitive Radio System with Multiple Antennas. International Journal of Computer Applications. 72, 21 ( June 2013), 32-37. DOI=10.5120/12668-9382

@article{ 10.5120/12668-9382,
author = { Sandeep Kumar Jain, Manoranjan Rai Bharti, Amardip Kumar },
title = { Distance based an Efficient Transmit Power Control Scheme in Cognitive Radio System with Multiple Antennas },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 21 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number21/12668-9382/ },
doi = { 10.5120/12668-9382 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:33.101550+05:30
%A Sandeep Kumar Jain
%A Manoranjan Rai Bharti
%A Amardip Kumar
%T Distance based an Efficient Transmit Power Control Scheme in Cognitive Radio System with Multiple Antennas
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 21
%P 32-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a transmit power control scheme for a cognitive radio system (CRS) in a Rayleigh fading channel based on the location information of primary user is proposed. The situation where primary user (PU) i. e. licensed user share the spectrum with secondary user (SU) i. e. cognitive radio have been considered. First a mathematical model for probability of detection as a function of distance between PU transmitter and SU transmitter is developed. The mathematical model takes into account multiple antennas at SUs and uses energy detection (ED) with selective combining (SC) scheme. The maximum allowable transmit power at SU transmitter, to guarantee decodability of PU transmitter signal at PU receiver,is calculated by using the distancebetween PU transmitter and SU transmitter. The simulation results show that the probability of detection improves with the use of multiple antennas at SU transmitter. This improved probability of detection will result into more accurate calculations of the maximum allowable transmit power at SU transmitter.

References
  1. S. Haykin, Cognitive radio: Brain-empowered wireless communications, IEEE Journal on Selected Area in Communications 23 (5) (February 2005) 201–220.
  2. W. Ren, Q. Zhao, and A. Swami, "Power control in cognitive radio networks: how to cross a multi-lane highway," IEEE J. Sel. Areas Commun. , vol. 27, no. 7, pp. 1283–1296, Sep. 2009.
  3. J. Mitola et al. , "Cognitive radio: Making software radios more personal," IEEE Pers. Commun. , vol. 6, no. 4, pp. 13–18, Aug. 1999.
  4. J. Mitola, "Cognitive radio: An integrated agent architecture for software defined radio," Doctor of Technology, Royal Inst. Technol. (KTH), Stockholm, Sweden, 2000.
  5. Q. Zhao and B. M. Sadler, "A survey of dynamic spectrum access: Signal processing, networking, regulatory policy," IEEE Signal Process. Mag. , vol. 24, no. 3, pp. 79–89, May 2007.
  6. T. Weiss, J. Hillenbrand, A. Krohn, and F. K. Jondral, "Mutual interference in OFDM-based spectrum pooling systems," in Proc. IEEE VTC, May 2004, vol. 4, pp. 1873–1877.
  7. R. Zhang and Y. -C. Liang, "Exploiting multi-antennas for opportunistic spectrum sharing in cognitive radio networks," IEEE J. Sel. Topics Signal Process. , vol. 2, no. 1, pp. 88–102, Feb. 2008.
  8. Karama Hamdi, Wei Zhang, and Khaled Ben Letaief, "Power Control in Cognitive Radio Systems Based on Spectrum Sensing Side Information," IEEE Communications Society 2007.
  9. Sandeep Kumar Jain and Manoranjan Rai Bharti, " A New Transmit Power Control Scheme in Cognitive Radio System Based on Location Information of Primary User ", IEEE sponsored Student Conference on Engineering and Systems (SCES-2013), MNNIT, Allahabad, Apr 2012.
  10. Chen Sun, Yohannes D. Alemseged, Ha Nguyen Tran, and Hiroshi Harada "Transmit Power Control for Cognitive Radio Over a Rayleigh Fading Channel," IEEE Transactions on vehicular technology, vol. 59, no. 4, pp. 1847-1857, May 2010.
  11. Edward C. Y. Peh, Ying Chang Liang, Yong Liang Guan, and Yonghong Zeng, "Power Control in Cognitive Radios under Cooperative and Non-Cooperative Spectrum Sensing," IEEE Transactions on wireless communications, vol. 10, no. 12, pp. 4238-4248, Dec 2011.
  12. A. Ghasemi and E. S. Sousa, "Collaborative spectrum sensing for opportunistic access in fading environments," in Proc. 1st IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN'05),Baltimore, USA, Nov. 8–11, 2005, pp. 131–136.
  13. N. Hoven and A. Sahai, "Power scaling for cognitive radio," in Proc. WCNC, Maui, Hawaii, USA, June 2005, vol. 1, pp. 250–255.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio (CR) dynamic spectrum access (DSA) energy detection (ED) path loss probability of detection transmit power control