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Optimum Spectrum Sensing Approaches in Cognitive Networks

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Cognitive Radio, Mobile Communications and Wireless Networks

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

Wireless Communications have gained much attention in today’s life due to an increasing demand for mobile users. There is a need to improve the performance of channel availability as the spectrum is limited. Cognitive networks make use of licensed radio spectrum based on its availability. These networks have two users: one is the primary (or licensed) user and the other is secondary (or unlicensed) user. Cognitive network assists the secondary user to access the spectrum dynamically and establish spectrum-efficient communication. However, the cognitive network has its own limitations such as channel uncertainty, spectrum sensing, noise uncertainty, fading and shadowing, spectrum mobility, and spectrum sensing time. Various spectrum sensing approaches have been addressed in the literature to enhance the spectrum availability. Most of these approaches sense the channel availability based on energy constraint. This may not be the optimum solution to sense the channel. In this chapter, we present various approaches to sense the spectrum availability dynamically using various parameters including energy which may not only improve the packet delivery ratio but also reduces the overhead. We also discuss the strategy to optimize transmission and observation time to get more spectrum efficiency and to increase the secondary user cooperation for minimum interference. We validate the approaches by giving their comparative analysis.

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Author information

Authors and Affiliations

  1. Mahatma Gandhi Institute of Technology, Hyderabad, India

    Ishrath Unissa

  2. MIET, Jammu, India

    Syed Jalal Ahmad

  3. Infosys Limited, Hyderabad, India

    P. Radha Krishna

Authors
  1. Ishrath Unissa
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  2. Syed Jalal Ahmad
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  3. P. Radha Krishna
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Editor information

Editors and Affiliations

  1. Telecommunications Software and Systems Group, Waterford Institute of Technology, Waterford, Ireland

    Mubashir Husain Rehmani

  2. National Polytechnic Institute of Toulouse, Toulouse, France

    Riadh Dhaou

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Unissa, I., Ahmad, S.J., Radha Krishna, P. (2019). Optimum Spectrum Sensing Approaches in Cognitive Networks. In: Rehmani, M., Dhaou, R. (eds) Cognitive Radio, Mobile Communications and Wireless Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-91002-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-91002-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91001-7

  • Online ISBN: 978-3-319-91002-4

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