Cepstrum-Based Spectrum Hole Search in Different Fading Scenario in Cognitive Radio Network

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Author(s): Srijibendu Bagchi (RCC Institute of Information Technology, India)
Copyright: 2017
Pages: 14
Source title: Handbook of Research on Recent Developments in Intelligent Communication Application
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India), Nibaran Das (Jadavpur University, India), Debotosh Bhattacharjee (Jadavpur University, India)and Anirban Mukherjee (RCC Institute of Information Technology, India)
DOI: 10.4018/978-1-5225-1785-6.ch002

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Networking and Telecommunications

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Abstract

Cognitive radio is now acknowledged as a potential solution to meet the spectrum scarcity problem in radio frequency range. To achieve this objective proper identification of vacant frequency band is necessary. In this article a detection methodology based on cepstrum estimation has been proposed that can be done through power spectral density estimation of the received signal. The detection has been studied under different channel fading conditions along with Gaussian noise. Two figures of merit are considered here; false alarm probability and detection probability. For a specific false alarm probability, the detection probabilities are calculated for different sample size and it has been established through numerical results that the proposed detector performs quite well in different channel impairments.

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Cepstrum-Based Spectrum Hole Search in Different Fading Scenario in Cognitive Radio Network

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