| Title | Detection Schemes of Illegal Spectrum Access Behaviors in Multiple Authorized Users Scenario |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Fang, Hao, Zhang, Tao, Cai, Yueming, Zhang, Linyuan, Wu, Hao |
| Conference Name | 2020 International Conference on Wireless Communications and Signal Processing (WCSP) |
| Keywords | composability, Detectors, GLRT, Gold, illegal spectrum access behaviors, Interference, Metrics, privacy, programmable logic arrays, pubcrawl, Rao test, resilience, Resiliency, security, Sensors, Signal processing, signal processing security, spectrum detection, ternary hypothesis test, Wald test |
| Abstract | In this paper, our aim is to detect illegal spectrum access behaviors. Firstly, we detect whether the channel is busy, and then if it is busy, recognizing whether there are illegal users. To get closer to the actual situation, we consider a more general scenario where multiple users are authorized to work on the same channel under certain interference control strategies, and build it as a ternary hypothesis test model using the generalized multi-hypothesis Neyman-Pearson criterion. Considering the various potential combination of multiple authorized users, the spectrum detection process utilizes a two-step detector. We adopt the Generalized Likelihood Ratio Test (GLRT) and the Rao test to detect illegal spectrum access behaviors. What is more, the Wald test is proposed which has a compromise between computational complexity and performance. The relevant formulas of the three detection schemes are derived. Finally, comprehensive and in-depth simulations are provided to verify the effectiveness of the proposed detection scheme that it has the best detection performance under different authorized sample numbers and different performance constraints. Besides, we illustrate the probability of detection of illegal behaviors under different parameters of illegal behaviors and different sets of AUs' states under the Wald test. |
| DOI | 10.1109/WCSP49889.2020.9299810 |
| Citation Key | fang_detection_2020 |
Detection Schemes of Illegal Spectrum Access Behaviors in Multiple Authorized Users Scenario