6th International Young Scientist Congress (IYSC-2020) will be Postponed to 8th and 9th May 2021 Due to COVID-19. 10th International Science Congress (ISC-2020).  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Performance Analysis of Throughput Maximization Techniques in Cognitive Radio Network Using Energy Detection Based Cooperative Spectrum Sensing

Author Affiliations

  • 1 Department of Electronics and Computer Engineering, Institute of Engineering, Pulchowk Campus, Tribhuvan University, NEPAL

Res. J. Engineering Sci., Volume 4, Issue (4), Pages 16-25, April,26 (2015)


Throughput maximization is one of the major challenges in cognitive radio (CR) network. In this paper, two scenarios of throughput maximization are analyzed, which are: consideration of primary user (PU) protection and consideration of packet collision. In case of PU protection, throughput can be maximized by selecting either appropriate number of secondary users (SUs), or appropriate sensing time or appropriate fusion rule at the fusion center. In case of packet collision, optimum frame length is selected to maximize the throughput. Energy detection (ED) based cooperative spectrum sensing (CSS) is used as spectrum sensing method in all these techniques and time division combining (TDC) CSS is used as the appropriate fusion rule. To show the relationship of throughput with above parameters, a simulation is set up considering voice over internet protocol (VOIP) activity as PU activity. The simulation results verify that throughput can be enhanced by selecting proper sensing time, proper number of SUs, proper fusion rule and proper frame duration. For example: with decreasing the required detection threshold from 0.9 to 0.5, the throughput is increased by 19%. Also, decrease in reporting delay from 0.6 to 0 ms causes the increase in throughput by 20%. For a fixed reporting time, the throughput decreases by almost 18% with the increase of every 5 number of SUs. For every 20 ms increase in frame duration, the collision probability increases by 39% and throughput decreases accordingly. Using TDC-CSS, the throughput increases by about 31%.


  1. Haykin S., Thomson D.J. and Reed J.H., Spectrum sensing for cognitive radio, IEEE Invited Paper, 97(5), 849-877 (2009)
  2. Li S., Zheng Z., Ekici E. and Shroff N., Maximizing system throughput by cooperative sensing in cognitive radio networks, arXiv:1111.3041v1 [cs.NI], ( 2011)
  3. Tang W., Shakir M.Z., Imran M.A., Tafazolli R. and Alouini M.S., Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing, IET Communications, 6(17), 2787-2795 (2012)
  4. Shen J., Jiang T., Liu S., and Zhang Z., Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks, IEEE transactions on wireless communications, 8(10), 5166-5175 (2009)
  5. Liang Y.C., Zeng Y., Peh C.Y. and Hoang A.T., Sensing- throughput tradeoff for cognitive radio network, IEEE Transactions on Wireless Communications, 7(4), 1326-1337 (2008)
  6. Bhowmick A., Das M. K., and Biswas J., Throughput optimization with cooperative spectrum sensing in cognitive radio network, IEEE international advance computing conference, 229-232 (2014)
  7. Yu H., Tang W. and Li S., Optimization of cooperative spectrum sensing with sensing user selection in cognitive radio networks, EURASIP journal on wireless communications and networking, 208 (2011)
  8. Pei E., Li J., and Cheng F., Sensing-throughput for cognitive radio networks with additional primary transmission protection, Journal of computational information systems, 9(10), 3767-3773 (2013)
  9. Wang Q., Yue D.W. and Wang Y., Throughput maximization in cognitive radio networks, IEEE international conference on wireless communications networking and mobile computing, 1-5 (2010)
  10. Zarrin S. and Lim T.J., Throughput-sensing tradeoff of cognitive radio networks based on quickest sensing, IEEE international conference on communications, 1-5 (2011)
  11. Hu H., Li N., Wu L., Xu Y. and Chen Y., Throughput maximization for cognitive radio networks with timedomain combining cooperative spectrum sensing, IEEE international conference on communication technology, 235-239 (2012)
  12. Wang P., Matyjas J. and Medley M., Throughput optimization of cognitive radio networks, IEEE Globecom, (2011)
  13. Pei Y., Hoang A.T. and Liang Y.C., Sensing-throughput tradeoff in cognitive radio networks: how frequently should spectrum sensing be carried out?, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 1-5 (2007)
  14. Wadhwa M., Xin C., Song M. and Park E.K., Throughput analysis for a contention-based dynamic spectrum sharing model, IEEE Transactions on Wireless Communications, 9(4), 1426-1433 (2010)