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Centralized Cooperative Directional Spectrum Sensing for Cognitive Radio Networks

Journal Article


Abstract


  • Most previous spectrum sensing techniques use omni-directional antennas. Unlike omni-directional antennas, the use of directional antennas for spectrum sensing is a promising technique that can realize fine-grained sensing for the primary user (PU) with a longer sensing range. In this paper, we propose a centralized cooperative directional sensing technique for cognitive radio networks. We assume that one secondary coordinator called the fusion center (FC), gathers sensing results from secondary nodes. Using the reported information, the FC optimizes the sensing period, sensing power, and sensing beams per secondary node. For optimization, we use a modified gradient descent method with numerical methods to solve the nonlinear optimization problem. The simulation results show that our directional spectrum sensing technique is well suited for the existing cognitive radio environment. The optimal scheme shows proposed here better performance in all simulation factors than the non-optimized scheme.

Publication Date


  • 2018

Citation


  • Na, W., Yoon, J., Cho, S., Griffith, D., & Golmie, N. (2018). Centralized Cooperative Directional Spectrum Sensing for Cognitive Radio Networks. IEEE Transactions on Mobile Computing, 17(6), 1260-1274. doi:10.1109/TMC.2017.2768509

Scopus Eid


  • 2-s2.0-85032800693

Web Of Science Accession Number


Start Page


  • 1260

End Page


  • 1274

Volume


  • 17

Issue


  • 6

Abstract


  • Most previous spectrum sensing techniques use omni-directional antennas. Unlike omni-directional antennas, the use of directional antennas for spectrum sensing is a promising technique that can realize fine-grained sensing for the primary user (PU) with a longer sensing range. In this paper, we propose a centralized cooperative directional sensing technique for cognitive radio networks. We assume that one secondary coordinator called the fusion center (FC), gathers sensing results from secondary nodes. Using the reported information, the FC optimizes the sensing period, sensing power, and sensing beams per secondary node. For optimization, we use a modified gradient descent method with numerical methods to solve the nonlinear optimization problem. The simulation results show that our directional spectrum sensing technique is well suited for the existing cognitive radio environment. The optimal scheme shows proposed here better performance in all simulation factors than the non-optimized scheme.

Publication Date


  • 2018

Citation


  • Na, W., Yoon, J., Cho, S., Griffith, D., & Golmie, N. (2018). Centralized Cooperative Directional Spectrum Sensing for Cognitive Radio Networks. IEEE Transactions on Mobile Computing, 17(6), 1260-1274. doi:10.1109/TMC.2017.2768509

Scopus Eid


  • 2-s2.0-85032800693

Web Of Science Accession Number


Start Page


  • 1260

End Page


  • 1274

Volume


  • 17

Issue


  • 6