Cooperative Energy Detection with Heterogeneous Sensors under Noise Uncertainty: SNR Wall and use of Evidence Theory

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2018-09
Major/Subject
Mcode
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Language
en
Pages
13
473 - 485
Series
IEEE Transactions on Cognitive Communications and Networking, Volume 4, issue 3
Abstract
The analyzed system model in this paper is a distributed parallel detection network in which each secondary user (SU) evaluates the energy-based test statistic from the received observations and sends it to a fusion center (FC), which makes the final decision. Uncertainty in the noise variance at each SU is modeled as an unknown constant in a certain interval around the nominal noise variance. It is assumed that the SUs are heterogeneous in that the nominal noise variances and the uncertainty intervals can be different for different SUs. Moreover, the received signal power at each SU may be different. For the considered system model, the paper presents important results for two inter-related themes on cooperative energy detection (CED) in the presence of noise uncertainty (NU). First, the expressions for generalized SNR walls are derived for the classical CED fusion rule, i.e., sum of energies from all SUs. Second, a Dempster-Shafer theory (DST) based CED is proposed in the presence of NU with heterogeneous sensors. In the proposed scheme, the test statistic from each SU is the energy-based basic mass assignment (BMA) values, which are first discounted depending on the uncertainty level associated with the SU and then fused at the FC using the Dempster rule of combination to arrive at the global decision. It is shown that the proposed scheme outperforms the traditional sum fusion rule in terms of detection performance as well as the location of SNR wall.
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Keywords
Detectors, Sensor fusion, Signal to noise ratio, Uncertainty, Wireless communication, Wireless sensor networks, Cognitive radio, Dempster-Shafer theory, SNR wall, SP wall., cooperative spectrum sensing, data fusion, energy detection, noise uncertainty
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Citation
Gohain , P B , Chaudhari , S & Koivunen , V 2018 , ' Cooperative Energy Detection with Heterogeneous Sensors under Noise Uncertainty: SNR Wall and use of Evidence Theory ' , IEEE Transactions on Cognitive Communications and Networking , vol. 4 , no. 3 , pp. 473 - 485 . https://doi.org/10.1109/TCCN.2018.2840134