Cooperative sensing with joint energy and correlation detection in cognitive radio networks

Morteza Tavana, Ali Rahmati, Vahid Shah-Mansouri, Behrouz Maham

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Cognitive radio networks (CRNs) are a promising solution to address the spectrum shortage issue. Spectrum sensing plays a key role to make such a scenario practical. In this letter, we propose a solution for the problem of spectrum sensing in CRNs aiming to increase the performance of the cooperative spectrum sensing. We design a cooperative spectrum sensing with detection based on two summary statistics, including energy and first-order correlation of the received samples of the signal. The probabilities of detection and false alarm are obtained as criteria for evaluating the performance of the CRNs. The performance evaluation is presented through simulations. The results show that the proposed method significantly improves the detection performance in cooperative spectrum sensing. It also highly decreases the probability of miss-detection in comparison with the traditional energy detection method.

Original languageEnglish
Article number7577787
Pages (from-to)132-135
Number of pages4
JournalIEEE Communications Letters
Volume21
Issue number1
DOIs
Publication statusPublished - Jan 1 2017

Keywords

  • cognitive radio networks
  • Cooperative spectrum sensing
  • energy and correlation detection

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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