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

Clustering and Cooperative Beamforming in Green Cognitive Radio Networks with Relays

by Ashok S Kumar, Sudha T
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 21
Year of Publication: 2015
Authors: Ashok S Kumar, Sudha T
10.5120/21821-5066

Ashok S Kumar, Sudha T . Clustering and Cooperative Beamforming in Green Cognitive Radio Networks with Relays. International Journal of Computer Applications. 121, 21 ( July 2015), 1-6. DOI=10.5120/21821-5066

@article{ 10.5120/21821-5066,
author = { Ashok S Kumar, Sudha T },
title = { Clustering and Cooperative Beamforming in Green Cognitive Radio Networks with Relays },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 21 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number21/21821-5066/ },
doi = { 10.5120/21821-5066 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:59.348988+05:30
%A Ashok S Kumar
%A Sudha T
%T Clustering and Cooperative Beamforming in Green Cognitive Radio Networks with Relays
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 21
%P 1-6
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A relay assisted cooperative beamforming technique can efficiently improve the spectral efficiency and can reduce the interference to primary users in a cognitive underlay systems. Our objective is to reduce the total power cost of Secondary Users (SU) while limiting the interference in the direction of Primary Users (PU). Kmean algorithm which is a partition based clustering algorithm is used here as the clustering algorithm. While considering flexible cooperation as general scheme, we collectively optimize the clustering and the beamforming to lower the overall power consumption while fulfilling the secondary users quality of service and satisfying the primary users interference temperature limits. An iterative algorithm called generalized Benders decomposition method is used to find an optimal solution. The indirect transmission mode of relays is considered in this work. The relays are equipped with directional antennas which will reduce the interference to the PU and meet the power cost requirement of SU under the assumptions that the clusters are non-overlapping and fixed. Thus spectral efficiency can be increased. Through simulations, we analyzed the advantages of algorithms and showed the benefits of the relays in cognitive wireless networks.

References
  1. Ian F, Akyildiz, Won-Yeol Lee,Mehmet C. Vuran, Shantidev Mohanty, NeXt Generation/Dynamic Spectrum Access/ Cognitive Radio Wireless Networks: A Survey, Computer Networks,vol. 50, no. 13,(2006):2127-2159.
  2. K. C. Chen, Y. J. Peng, N. Prasad, Y. C. Liang, and S. Sun, Cognitive Radio Network Architecture: Part I - General Structure, ACM International Conference on Ubiquitous Information Management and Communication (ICUIMC) (2008).
  3. Simon,Haykin, Cognitive Radio: Brain-Empowered Wireless Communications,Selected Areas In Communications, IEEE journal on 23. 2(2005):201-220
  4. Shrikrishan Yadav, Santosh Kumar Singh, Krishna Chandra Roy, A Smart and Secure Wireless Communication System:Cognitive Radio, International Journal of Soft Computing and Engineering (IJSCE) ISSN:Vol. 2, Issue-1,(2012):2231-2307
  5. Ian F. Akyildiz, Brandon F. Lo, Ravikumar Balakrishnan, Cooperative spectrum sensing in cognitive radio networks: A survey, Physical Communication 4 (2011):40-62.
  6. Xiaoming Chen, Hsiao-Hwa Chen, and Weixiao Meng, Cooperative Communications for Cognitive Radio Networks:From Theory to Applications, IEEE Communications surveys and tutorials, IEEE Communications surveys and tutorials, vol. 16, no. 3, (2014):1180-1192.
  7. Yu Zhang,Anese and Georgios B, Distributed Optimal Beamformers for Cognitive Radios Robust to Channel Uncertainties, IEEE transactions on signal processing, IEEE transactions on signal processing, vol. 60, issue 12,(2012):6495-6508.
  8. Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, An Efficient k-Means Clustering Algorithm: Analysis and Implementation, IEEE transaction on pattern analysis and machine intelligence, vol. 24, no. 7,(2002):881-892.
  9. Rindranirina, Ramamonjison, Alireza Haghnegahdar and Vijay K. Bhargava, Joint Optimization of Clustering and Cooperative Beamforming in Green CognitiveWireless Networks, IEEE Transaction on wireless communication, vol. 13,no. 2,(2014) :982-997.
  10. J. Benders, Partitioning procedures for solving mixedvariables programming problems, Computational Management Science, vol. 2, no. 1, (2005):3-19, Available: http://dx. doi. org/10. 1007/s10287-004-0020-y
  11. Narges Naouri, Narges Noori, Directional Relays for Multi- Hop Cooperative Cognitive Radio Networks, Radioengineering, vol. 22, no. 3,(2013):791-799
  12. Yulong Zou, Jia Zhu, Baoyu Zheng, and Yu-Dong Yao, An Adaptive Cooperation Diversity Scheme With Best-Relay Selection in Cognitive Radio Networks, IEEE transactions on signal processing,vol. 58, no. 10,(2010):5438-5445.
  13. Ali Afana, Vahid Asghari, Ali Ghrayeb, and Sofi'ene Affes, On the Performance of Cooperative Relaying Spectrum- Sharing Systems with Collaborative Distributed Beamforming, IEEE transactions on communications, IEEE transactions on communications, vol. 62, no. 3, (2014):857-871.
Index Terms

Computer Science
Information Sciences

Keywords

Green Networks Cognitive Radio Cooperative Beamforming Kmean algorithm Benders decomposition algorithm Indirect relay mode

Powered by PhDFocusTM