… sensing with a crowd of low-end personal spectrum sensors (such as smartphones, tablets,
and in-vehicle sensors), where the sensing data from crowd sensors … , every crowd sensor …

… Spectrum sensor data collection based analytical models and then present our data-driven
performance model of spectrum sensors… Dataset We collect spectrum sensor measurements …

… ,and which will incur to a low spectrum efficiency or an inevitable interference to primary …
Mobile Crowd Sensing to study the cooperative spectrum sensing where the sensing users …

… co-operative spectrum sensing where the wide crowd of mobile sensors can be the candidates
to participate in the sensing process. Furthermore, taking account of the sensing cost and …

… [23] addressed the appearance of abnormal data in crowd sensors during spectrum sensing.
Their proposed approach is equipped with a new robust cooperative spectrum sensing …

… Sensing is an important enabling technique for realizing opportunistic spectrum access in
… We consider the security ramifications of crowdsourcing of spectrum sensing in presence of …

… measurements, we evaluated the total power in each of the 30 TV channels as sensed by
these sensors at various locations. Then, we create a spectrum occupancy map by estimating …

… by aggregating sensing results. With CSS in place, the spectrum database administrator …
maintaining a dedicated large-scale sensor network for spectrum sensing. The feasibility of CSS …

… An MNO can increase its capacity by using the secondary spectrum discovered by the
spectrum sensors. The traffic load across the MNO cells (hotspots vs. coldspots) might differ as …

… Particularly, in sensing stage, the advanced mobile crowd sensing (MCS) is adopted to …
spectrum sensing scenario, where a widely spread mobile users equipped with kinds of sensors …