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Throughput Enhancement of Cognitive Radio Networks through Improved Frame Structure

by Rubeena, Indu Bala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 14
Year of Publication: 2015
Authors: Rubeena, Indu Bala
10.5120/19259-1016

Rubeena, Indu Bala . Throughput Enhancement of Cognitive Radio Networks through Improved Frame Structure. International Journal of Computer Applications. 109, 14 ( January 2015), 40-43. DOI=10.5120/19259-1016

@article{ 10.5120/19259-1016,
author = { Rubeena, Indu Bala },
title = { Throughput Enhancement of Cognitive Radio Networks through Improved Frame Structure },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 14 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 40-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number14/19259-1016/ },
doi = { 10.5120/19259-1016 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:49.119900+05:30
%A Rubeena
%A Indu Bala
%T Throughput Enhancement of Cognitive Radio Networks through Improved Frame Structure
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 14
%P 40-43
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A cognitive radio (CR) system exploits spectrum bands that are not fully utilized by the licensed users. For the successful deployment of the technology, the biggest challenge is to make network protocols more adaptive to use the available bandwidth effectively. Various medium access protocols (MAC) have been proposed by researchers to manage spectrum sensing and the channel utilization between two kind of users namely licensed primary users and unlicensed secondary users. In this paper, a modified self-scheduling multi-channel cognitive radio MAC protocol based on cooperative communication is proposed to enhance the network throughput by modifying its frame structure. The proposed frame structure also eliminates the sensing throughput tradeoff that was encountered in the conventional scheme. The simulation results show that the proposed scheme significantly outperforms the conventional scheme by increasing the throughput 200Mbps.

References
  1. J. Mitola and J. Maguire, G. Q. , "Cognitive Radio: making software radios more personal," IEEE Pers. Communication Magazine, vol. 6, no. 4, pp. 13–18, Aug. 1999
  2. S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE Journal on Selected Areas in Communication, vol. 23, pp. 201–220, Feb. 2005.
  3. Indu Bala, Manjit Singh Bhamrah and Ghanshyam Singh, "Analytical Modelling of Ad Hoc Cognitive Radio Environment for Optimum Power Control," International. Journal of Computer Applications, vol. 92, No. 7, pp. 19-22, 2014.
  4. Vanita Rana, Indu Bala and Neelu Jain, "Resource Allocation Models for Cognitive Radio Networks: A Study," International Journal of Computer Applications, vol. 91, No. 12, pp. 51-55, 2014.
  5. Rubeena Sethi and Indu Bala, "Performance Evaluation of Energy Detector for cognitive radio network," IOSR journal of Electronics and communication, issue 5, vol. 8 pp 46-51, 2013.
  6. Q. Zhao, L. Tong, A. Swami, and Y. Chen, "Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework," IEEE Journal on Selected Areas of Communication, vol. 25, no. 3, pp. 589–600, April 2007.
  7. H. Su and X. Zhang, "Opportunistic MAC protocols for cognitive radio based wireless networks," in proceedings of 41st Conference on Information Sciences and Systems, pp. 363–368, John Hopkins University, USA, March 2007.
  8. J. Jia, Q. Zhang, and X. Shen, "HC-MAC: A hardware-constrained cognitive MAC for efficient spectrum management," IEEE Journal on Selected Areas of Commununications, vol. 26, no. 1, pp. 106–117, Jan. 2008.
  9. Shweta Pandit and G. Singh, "Self-Scheduled MAC-Layer Protocol for Spectrum Sharing in Cognitive Radio Communication," IEEE, 2013.
  10. C. Cordeiro and K. Challapali, "C-MAC: a cognitive MAC protocol for multi-channel wireless networks," in proceedings of 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 147–157, April 2007.
  11. S. Lim and J. Lee, "A self-scheduling multi-channel cognitive radio MAC protocol based on cooperative communications," IEICE Transactions on Communications, vol. E94-B, no. 6, pp. 1657-1668, June 2011.
  12. Ying-Chang Liang, Yong hong Zeng, E. C. Y. Peh and Anh Tuan Hoang, "Sensing Throughput Tradeoff for Cognitive Radio Networks," IEEE Transactions on Wireless Communications, vol. 7, no. 4, pp. 1326-1337, April 2008.
  13. Xin Kang, "Sensing-based Spectrum Sharing in Cognitive Radio Networks," IEEE Transactions on Vehicular Technology, issue 8, vol. 58, 2009
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio Primary user Secondary user SMC-MAC FCS Spectrum Sensing Throughput.

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