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A Novel Approach for Channel Allocation In OFDM Based Cognitive Radio Technology

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Abstract

When the number of users in the radio environment is increasing and the rapid development in the wireless environment is examined, the efficient use of the spectrum decreases gradually. Cognitive radio technology as one of the spectrum sensing techniques for 5G (Fifth Generation) and beyond communication systems has been studied in recent years to prevent spectrum inefficiency. According to different researches, spectrum usage is not always the same by the licensed user. Certain parts of the spectrum is used very little or inefficient. OFDM-based cognitive radio technology developed to increase spectum efficiency has enabled the use of empty channels. In this article, a new approach is proposed by combining artificial intelligence techniques and spectrum detection algorithms. The accuracy of the results was observed by applying this new technique to OFDM technology. Genetic algorithm (GA) is used to make the best field channel allocation and highest accuracy for the use of the spectrum. It was found that the optimized result with the help of genetic algorithm was better than the results without using genetic algorithm. As a result of the study, the accuracy of the channel allocation has increased significantly with the new approach proposed. In this article, it is possible to integrate different spectrum allocation techniques for secondary users by using artificial intelligence. The requirements of the system are given as input data and accordingly the probability of detection is examined. Thanks to this method, empty frequencies are continuously scanned and correct channel allocation is ensured. The results obtained in this article show that both the channel assignment is correct and the primary user is detected without any problems.

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Authors and Affiliations

  1. Department of Vocational High School, Kırıkkale University, Ankara Highway 7. Km, 71450, Yahsihan/Kirikkale, Turkey

    Rüstem Yilmazel

  2. Department of Electrical and Electronic Engineering, Kırıkkale University, Ankara Highway 7. Km, 71450, Yahsihan/Kirikkale, Turkey

    Nihat Inanç

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  1. Rüstem Yilmazel
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  2. Nihat Inanç
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Correspondence to Rüstem Yilmazel.

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During this study, we declare that no financial support has been received from a firm or any commercial firm that has a direct link to the subject of the research, which may adversely affect the decision to be made during the evaluation of the study. While preparing the study; we clearly state that there are no conflicts of interest during the data collection, interpretation of the results, and writing of the article.

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Yilmazel, R., Inanç, N. A Novel Approach for Channel Allocation In OFDM Based Cognitive Radio Technology. Wireless Pers Commun 120, 307–321 (2021). https://doi.org/10.1007/s11277-021-08456-6

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  • DOI: https://doi.org/10.1007/s11277-021-08456-6

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