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Advancement in Spectrum Sensing Algorithms in Cognitive Radio Architecture

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Computer Vision and Image Processing (CVIP 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1776))

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Abstract

Cognitive Radio Networks (CRNs) consider as one of the advanced and emerging technologies that can be employed in 5G/6G and beyond to satisfy the high data rate demand of wireless communication by reducing the channel scarcity problem. The objective of CRN is to permit the unlicensed/secondary users (SUs) to efficiently utilize the available licensed spectrum without affecting the operations of licensed/primary users (PUs). While implementing CRNs, SUs have to face several challenges such as the detection of PUs as well as resource allocation problems, which occur due to the interference between PU and SU, and between SU and SU. CRN faces problems like inter-symbol interference (ISI) and a lower data rate. Hence to reduce the problem of ISI and to achieve a higher data rate, the Orthogonal Frequency Division Multiplexing (OFDM) technique utilized in CRN. It proves advantageous since it lowers the ISI, pro-vides interoperability, and also improves spectrum sensing. However, OFDM exhibits a spectrum leakage problem. As a solution to this, Filter Bank based Multi-Carrier (FBMC) technique can be employed in the cognitive radio (CR) scenarios. In this paper, we explore different directions and applications where FBMC can be employed with CRNs.

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Authors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, India

    Tejal Shambharkar & Ila Sharma

  2. National Institute of Technology, Patna, India

    Shikha Maurya

Authors
  1. Tejal Shambharkar
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  2. Ila Sharma
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  3. Shikha Maurya
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Corresponding author

Correspondence to Ila Sharma .

Editor information

Editors and Affiliations

  1. Visvesvaraya National Institute of Technology Nagpur, Nagpur, India

    Deep Gupta

  2. Visvesvaraya National Institute of Technology Nagpur, Nagpur, India

    Kishor Bhurchandi

  3. Indian Institute of Technology Ropar, Rupnagar, India

    Subrahmanyam Murala

  4. Indian Institute of Technology Roorkee, Roorkee, India

    Balasubramanian Raman

  5. Indian Institute of Technology Roorkee, Roorkee, India

    Sanjeev Kumar

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Shambharkar, T., Sharma, I., Maurya, S. (2023). Advancement in Spectrum Sensing Algorithms in Cognitive Radio Architecture. In: Gupta, D., Bhurchandi, K., Murala, S., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing. CVIP 2022. Communications in Computer and Information Science, vol 1776. Springer, Cham. https://doi.org/10.1007/978-3-031-31407-0_43

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  • DOI: https://doi.org/10.1007/978-3-031-31407-0_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-31406-3

  • Online ISBN: 978-3-031-31407-0

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