Cooperative Spectrum Sensing Performance-overhead Tradeoff in Cognitive Radio Network under Bandwidth Constraint

  • Israna Hossain Arka, Musab Ahmad Mohammad Al-Tarawni, J.S. Mandeep
  • Research Journal of Applied Sciences Engineering and Technology, December 2013, Maxwell Scientific Publication Corp.
  • DOI: 10.19026/rjaset.6.3458

Cooperative Spectrum Sensing Performance-overhead Tradeoff in Cognitive Radio Network

What is it about?

In this study, a cluster-based data and decision fusion approach are implemented to jointly exploit the advantages of both and a selective optimal weight setting algorithm is proposed by utilizing normal and modified deflection coefficients maximization under Neyman-Pearson criterion in order to obtain a final decision about the presence of primary users. The simulations show promising results as the novel hybridization process visibly reduces the network traffic overhead while exhibiting a highly satisfactory detection performance in CRN. Impairments in wireless network environment like shadowing, fading and noise uncertainty are also taken into consideration while optimizing the performance of the proposed model.

Why is it important?

promising results as the novel hybridization process visibly reduces the network traffic overhead while exhibiting a highly satisfactory detection performance in CRN

Perspectives

Dr. Musab A. M. Al-Tarawni
musab841@yahoo.com

a cluster-based data and decision fusion approach are implemented to jointly exploit the advantages of both and a selective optimal weight setting algorithm is proposed by utilizing normal and modified deflection coefficients maximization under Neyman-Pearson criterion in order to obtain a final decision about the presence of primary users.

Read Publication

http://dx.doi.org/10.19026/rjaset.6.3458

The following have contributed to this page: Dr. Musab A. M. Al-Tarawni