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In cognitive radios, in-band spectrum sensing is essential for the protection of legacy spectrum users, enabling secondary users to vacate channels immediately upon detection of primary users. For in-band sensing, it is important to meet detectability requirements, such as the maximum allowed detection latency and the probability of misdetection and false alarm. In this paper, we propose key techniques...
Spectrum sensing is a fundamental problem in cognitive radio. As a result, it has been reborn as a very active research area in recent years despite its long history. Although various sensing methods have been proposed, their robustness at very low signal-to-noise ratio (SNR) and uncertain noise/interference environment is generally not satisfactory. In this paper, the concept of robust sensing is...
Spectrum sensing is the key technology in Cognitive Radio (CR) for primary user detection. Noise uncertainty in spectrum sensing will make the detector unreliable due to "SNR walls". In this paper, cooperative spectrum sensing with adaptive thresholds is proposed to improve the detection performance under noise uncertainty. In this algorithm, each secondary user will use a two-thresholds...
In the dynamic spectrum access (DSA) type of cognitive radios, secondary users need to detect the signals from the primary system prior to communicating in the sharing band. Hence, spectrum sensing is an important function for DSA. Key requirements for spectrum sensing in realistic radio environments are stable performance in detecting the primary signals as well as robustness against noise uncertainty...
Spectrum sensing is a core problem in cognitive radio. Detecting the presence/absence of very weak primary users with a single antenna can be very difficult. Environmental uncertainties result in SNR walls that detectors cannot overcome. Multiple-antenna approaches show some potential gains, but we show here that single-user multiple-antenna detection still must suffer from an SNR wall. The reason...
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