Name
Abstract | ||
|---|---|---|
The increasing availability of inexpensive software defined radios (SDRs) allows nowadays to implement cognitive radio (CR) functionalities in large scale networks such as the Internet-of-Things and future SG systems. In this work, we focus on the spectrum sensing functionality that must take into account the front-end impairments of low-cost devices. Based on the noise model of a real SDR dongle, we address the problem of robust signal detection in the presence of noise power uncertainty and non-flat noise power spectral density (PSD). In particular, we analyze the receiver operating characteristic (ROC) of different known detectors in the presence of such front-end impairments, to understand the performance attainable in a real-world scenario. Based on the analysis, we propose two frequency-domain detectors that are proven to outperform previously proposed spectrum sensing techniques such as, e.g., eigenvalues-based tests. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/PIMRC.2018.8580886 | 2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC) |
Field | DocType | Citations |
Frequency domain,Noise power,Detection theory,Software-defined radio,Computer science,Electronic engineering,Real-time computing,Spectral density,Dongle,Detector,Cognitive radio | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Mariani | 1 | 165 | 9.14 |
| Andrea Giorgetti | 2 | 55 | 6.10 |
| Marco Chiani | 3 | 1869 | 134.93 |