A Novel Dynamically Sensing and Resource Allocation in a Cognitive Radio Network Using Inspiration from Hemoglobin Binding Algorithm
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International Journal of Recent Engineering Science (IJRES) | ![]() |
© 2022 by IJRES Journal | ||
Volume-9 Issue-1 |
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Year of Publication : 2022 | ||
Authors : Gbayan Bundega Martins, Mom Joseph M., Igwue Gabriel A., Enokela Adakole Jonathan |
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Citation
MLA Style: Gbayan Bundega Martins, et al. "A Novel Dynamically Sensing and Resource Allocation in a Cognitive Radio Network Using Inspiration from Hemoglobin Binding Algorithm" International Journal of Recent Engineering Science vol. 9, no. 1, Jan-Feb. 2022, pp. 22-30. Crossref, https://doi.org/10.14445/23497157/IJRES-V9I1P104
APA Style: Gbayan Bundega Martins, Mom Joseph, M., Igwue Gabriel, A., Enokela Adakole Jonathan. (2022). A Novel Dynamically Sensing and Resource Allocation in a Cognitive Radio Network Using Inspiration from Hemoglobin Binding Algorithm. International Journal of Recent Engineering Science, 9(1), 22-30. https://doi.org/10.14445/23497157/IJRES-V9I1P104
Abstract
The eminent challenge on today's radio spectrum are caused by the mode of spectrum allocation is currently being adapted by spectrum regulators. It is, therefore very, essential that this allocation policy be broken to allow radios equipped with good cognition of the spectrum space to take advantage of the spectrum space and allocate their spectrum under the right condition. This paper proposes a dynamic allocation system based on oxygen-haemoglobin detection and allocation system where preference for allocation is given to spectrum holes with higher allocation over those with lower allocation. The primary motivation for the algorithm is to reward channel(s) spectrum users who are most willing to lease their channels, thus motivating more primary users to open up their spectrum for secondary users. In work, a mathematical framework for computing spectrum holes has been presented, data has been used to determine this, and the allocation process is performed based on the proposed method.
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Keywords
Spectrum allocation, Oxygen-haemoglobin detection, Cognition, Spectrum holes, Primary user, The secondary user.