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Experimental testing and analysis of regression algorithms for spectrum sensing in cognitive radio networks

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Abstract

The allocation policy has resulted in some bands becoming oversaturated and hindering the efficient utilization of these frequencies by unlicensed users. Cognitive radio can dynamically allocate these users across different bands. The utilization of spectrum prediction techniques can help improve the efficiency of cognitive radio networks (CRN) by lowering their energy consumption and reducing the number of users. There are various kinds of prediction techniques that are utilized in the spectrum, such as regression analysis, machine learning, and the Markov model. The paper presents a framework for analyzing the spectrum's presence and absence of a licensed user with the help of machine learning. It is evaluated by taking into account the different kinds of regression techniques and their performance on a set of data that's been created using a software-defined testbed. The performance of the proposed method has been compared with that of the literature. It shows that the accuracy has significantly improved.

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering (ECE), College of Engineering, Guindy, Anna University, Chennai, Tamilanadu, India

    A. Rijuvana Begum

  2. Department of ECE, Presidency University, Bengalure, Karnataka, India

    M. S. Divya Rani

  3. Department of ECE, Kakatiya Institute of Technology and Science, Warangal, Telangana, India

    V. Venkateshwar Reddy

  4. Department of ECE, CMR Engineering College, Hyderabad, Telangana, India

    B. Siva Kumar Reddy & Biroju Papachari

Authors
  1. A. Rijuvana Begum
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  2. M. S. Divya Rani
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  3. V. Venkateshwar Reddy
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  4. B. Siva Kumar Reddy
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  5. Biroju Papachari
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Dr. A. Rijuvana Begum, Dr. M.S Divya Rani, Dr Venkateshwar Reddy V., Dr. B Siva Kumar Reddy and Mr. Biroju Papachari The first draft of the manuscript was written by Dr. B Siva Kumar Reddy and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to B. Siva Kumar Reddy.

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Begum, A.R., Rani, M.S.D., Reddy, V.V. et al. Experimental testing and analysis of regression algorithms for spectrum sensing in cognitive radio networks. Wireless Netw (2024). https://doi.org/10.1007/s11276-024-03750-0

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