Abstract
Spectrum sensing is a key issue in cognitive radio. Communication spectrum hole detection plays an important role in effective bandwidth utilization. The secondary user (non-licensed) can transmit its data over the idle channel. Sensing time is another issue in spectrum sensing. The minimum spectrum sensing time the collision between the data transmission of primary and secondary user can be kept under a desired value. The desired value will enhance the throughput of the secondary use. In this paper, genetic algorithm was used for the optimization of the sensing time. A significance improvement is noted in sensing time. The results were simulated on MATLAB.
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Ali, M.N., Naveed, I., Khan, M.A., Nasir, A., Mushtaq, M.T. (2019). Sensing Time Optimization Using Genetic Algorithm in Cognitive Radio Networks. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_16
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DOI: https://doi.org/10.1007/978-981-13-6052-7_16
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