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Soft Computing for Problem Solving pp 347–354Cite as

Energy Detection-Based Spectrum Sensing for MIMO Wireless Channel with Different Antenna Configurations

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 817))

Abstract

The spectrum sensing acquired importance due to ever-growing demands for the high data rates. It is one of the prominent functions in the cognitive radio, 4G, and beyond 4G cellular systems. Different facets of spectrum sensing methods are examined from a cognitive radio and multi-input and multi-output (MIMO) systems perspective. The major task of cognitive radio is to identify the unused spectrum and thereby allocating that spectrum to the required users without causing interference to the other users, and the important task of 4G system is to provide user demanding bandwidth by detecting the existence of the user in order to allocate the unused subcarrier channels to the required users. Hence, spectrum sensing is the key feature of cognitive radio. In this paper, a new energy detection-based spectrum sensing for MIMO wireless channel is proposed. The proposed technique performs better in case of higher order antenna configurations compared to lower order.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, A.U.C.E (A), Andhra University, Visakhapatnam, 530003, Andhra Pradesh, India

    Babji Prasad Chapa, Suresh Dannana & Sasibhushana Rao Gottapu

Authors
  1. Babji Prasad Chapa
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  2. Suresh Dannana
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  3. Sasibhushana Rao Gottapu
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Corresponding author

Correspondence to Babji Prasad Chapa .

Editor information

Editors and Affiliations

  1. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  2. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  3. Department of Mathematics and Computer Science, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  4. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  5. School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, India

    Akshay Kumar Ojha

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Chapa, B.P., Dannana, S., Gottapu, S.R. (2019). Energy Detection-Based Spectrum Sensing for MIMO Wireless Channel with Different Antenna Configurations. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_28

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