CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

by Kiran Sultan, Bassam A. Zafar, Babar Sultan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 3
Year of Publication: 2015
Authors: Kiran Sultan, Bassam A. Zafar, Babar Sultan
10.5120/ijca2015906953

Kiran Sultan, Bassam A. Zafar, Babar Sultan . Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks. International Journal of Computer Applications. 130, 3 ( November 2015), 29-34. DOI=10.5120/ijca2015906953

@article{ 10.5120/ijca2015906953,
author = { Kiran Sultan, Bassam A. Zafar, Babar Sultan },
title = { Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 3 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number3/23190-2015906953/ },
doi = { 10.5120/ijca2015906953 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:24:54.836176+05:30
%A Kiran Sultan
%A Bassam A. Zafar
%A Babar Sultan
%T Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 3
%P 29-34
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Transmit power minimization is one of the major research challenges in Relay-Assisted Cognitive Radio Networks. In this process, the transmit power of each individual relay is adjusted in such a way that the overall transmit power consumption at the relay network is minimized while satisfying the minimum Quality-of-Service (QoS) requirements of primary and secondary networks. In this paper, a similar constrained optimization problem is focused in which a secondary source-destination pair is assisted by a potential relay network having Cognitive Radio capabilities. A Fuzzy Rule Based System (FRBS) is proposed for intelligent relay selection such that total transmit power at the relay network is minimized while achieving the desired signal-to-noise ratio (SNR) at the destination and keeping the primary communication undisturbed. The effectiveness of the proposed scheme is highlighted through simulation results.

References
  1. Shahrasbi, B. and Rahnavard, N. 2011, Rateless-coding based cooperative cognitive radio networks: Design and analysis, IEEE SECON, 224-232.
  2. Lee, J., Wang, H., Andrews, J.G. 2011, Outage Probability of Cognitive Relay Networks with Interference Constraints, IEEE Transactions on Wireless Comm., 390-395.
  3. Chen, D., Ji, H., Li, X. 2011. Optimal Distributed Relay Selection in Underlay Cognitive Radio Networks: An Energy-Efficient Design Approach, IEEE WCNC, 1203-1207.
  4. Liu, F., Zhang, X., Chen, Z., Wang, Y., Yang, D. 2009. Performance Measure Analysis of Amplify-and-Forward Relaying over Non-identical Nakagami-m Fading Channel, IEEE ICC, 1-6.
  5. Wu, M., Wubben, D., Dekorsy, A. 2011. BER-based Power Allocation for Amplify-and-Forward and Decode-and-Forward Relaying Systems, Int. ITG workshop on Smart Antennas, 1-8.
  6. Sultan, K., Qureshi, I.M., Zubair, M. 2012. SNR Maximization through Relay Selection and Power Allocation for Non-Regenerative Cognitive Radio Networks, IEEE INMIC, 361-364.
  7. Naeem, M., Lee, D.C., Pareek, U. 2010. An Efficient Multiple Relay Selection Sceheme for Cognitive Radio Systems, IEEE ICC, 1-5.
  8. Mietzner, J., Lampe, L., Schober, R. 2009. Distributed Transmit Power Allocation for Multihop Cognitive-Radio Systems, IEEE Transactions on Wireless Comm., 5187-5201.
  9. Xu, J., Zhang, H., Yuan, D., Jin, Q., Wang C.X. 2011. Novel Multiple Relay Selection Schemes in Two-Hop Cognitive Relay Networks, IEEE CMC, 307-310.
  10. Li, D., Dai, X. 2009. Power Control in Cooperative Cognitive Radio Networks by Geometric Programming, IEEE APCC, 118-121.
  11. Atta-ur-Rahman, Qureshi, I.M., Muzaffar, M.Z., Naseem, M.T. 2012. Adaptive Resource Allocation for OFDM Systems using Fuzzy Rule Base System and Water-filling Principle. SoCPaR, 811-816.
  12. Le, H.T., Ly, H.D. 2008. Opportunistic Spectrum Access Using Fuzzy Logic for Cognitive Radio Networks, IEEE ICCE, 240-245.
  13. Liu, W., Lv, T., Gao, Wang L.W., Liu, B. 2009. A Novel Cooperative Spectrum Sensing Scheme Based on Fuzzy Integral Theory in Cognitive Radio Networks, IEEE WiCom, 1-4.
  14. Ahmed, K., Bashir, F., Najum-ul-Hassan, Ehsan ul Haq, M. 2010. Comparative study of centralized cooperative spectrum sensing in cognitive radio networks, IEEE ICSPS, 246-249.
  15. Dey, A., Biswas, S., Panda, S. 2011. A New Fuzzy Rule Based Power Management Scheme for Spectrum Sharing in Cognitive Radio, IEEE ICCIA, 1-4.
  16. Tabakovic, Z., Grgic, S., Grgic, M. 2009. Fuzzy Logic Power Control in Cognitive Radio, IEEE IWSSIP, 1-5.
  17. Mustafa, W., Rakus-Andersson, E. 2010. Fuzzy-based Opportunistic Power Control Strategy in Cognitive Radio Networks, IEEE ISABEL, 1-5.
  18. Hui, H., Zhu, S., Lv, G. 2010. Relay Selection for Lifetime Extension in Amplify-and-Forward Cooperative Networks, IEEE ICC, 1-5.
  19. Amarasuriya, G., Ardakani, M., Tellambura, C. 2010, Output-Threshold Multiple-Relay-Selection Scheme for Cooperative Wireless Networks. IEEE Transactions on Vehicular Technology. Vol. 59(6), 3091-3097.
  20. Yang, S. and Wu, J. 2010. A Spectrum Sharing Method based on Fuzzy Logic in IEEE 802.22 WRAN, IEEE WCSP, 1-5.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitve Radio Network Underlay Spectrum Sharing Cooperative Communication Amplify-and-Forward Fuzzy Rule Based System

Powered by PhDFocusTM