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A novel linear SVM-based compressive collaborative spectrum sensing (CCSS) scheme for IoT cognitive 5G network

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Abstract

The cognitive 5G network plays a vital role in enhancing the performance of IoT systems by providing broad services on dynamic situations. Cognitive radio is an emerging trend for supporting multiuser and hybrid communications. New radio technologies and architectures have undergone connectivity issues due to spectrum allocation and utilization. Resource utilization based on cognitive radio technology develops an efficient and reliable system architecture for IoT models. Cognitive radio resolves the collision and excessive contention in heavy traffic IoT networks. Suitable spectrum sensing model is essential in cognitive radio networks and also it supports the IoT networks. To address all these challenges, this proposed research model provides linear support vector machine-based compressive collaborative spectrum sensing scheme in IoT cognitive 5G network that significantly reduces the energy consumption and increases the spectrum utilization.

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Authors and Affiliations

  1. Department of Electronics and Communication, ULTRA College of Engineering and Technology, Madurai – Chennai Highway, Madurai, Tamilnadu, 625104, India

    Sivasankari Jothiraj

  2. Department of Electronics and Communication, Velammal Institute of Technology, Panchetti, Thiruvallur District, Chennai, Tamilnadu, 601 204, India

    Sridevi Balu

Authors
  1. Sivasankari Jothiraj
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  2. Sridevi Balu
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Correspondence to Sivasankari Jothiraj.

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Communicated by Sahul Smys.

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Jothiraj, S., Balu, S. A novel linear SVM-based compressive collaborative spectrum sensing (CCSS) scheme for IoT cognitive 5G network. Soft Comput 23, 8515–8523 (2019). https://doi.org/10.1007/s00500-019-04097-x

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  • DOI: https://doi.org/10.1007/s00500-019-04097-x

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