Recently, a new blind spectrum sensing technique based on signal space dimension estimation was developed for sensing the spectrum holes in the primary user’s bands. The mean idea of this technique is that the number of significant eigenvalues of the covariance matrix of the received signal is directly related to the presence/absence of data in the signal. In this paper, we study the collaborat...

An explosive growth in vehicular wireless services and applications gives rise to spectrum 1 resource starvation. Cognitive radio has been used to vehicular networks to mitigate the impending 2 spectrum starvation problem by allowing vehicles to fully exploit spectrum opportunities unoccupied 3 by licensed users. Efficient and effective detection of licensed user is a critical issue to realize ...

approved: Bechir Hamdaoui This thesis proposes a novel technique that exploits spectrum occupancy behaviors inherent to wideband spectrum access to enable efficient cooperative spectrum sensing. The proposed technique reduces the number of required sensing measurements while accurately recovering spectrum occupancy information. It does so by leveraging compressive sampling theory to exploit the...

Cognitive Radio Wireless Sensor Networks are emerging technology which provides cognitive capabilities to Wireless Sensor Networks. WSN operates in unlicensed band. Same spectrum band is shared by other wireless devices like Wi-Fi and Bluetooth. Due to this, the unlicensed spectrum is overcrowded which degrades the performance of WSNs. To overcome this issue, Cognitive Radio is integrated with ...

Effective spectrum sensing strategies enable cognitive radios to enhance the spectrum efficiency. In this paper, modeling, performance analysis, and optimization of spectrum handoff in a centralized cognitive radio network are studied. More specifically, for a given sensing order, the average throughput of secondary users and average interference level among the secondary and primary users are ...

In a cognitive radio network, the spectrum sensing must be done quickly and accurately to avoid primary interference and to achieve high throughput. Sensing a channel for a long reduces the throughput and increases the energy wastage. A probability density function (pdf) based adaptive sensing method is proposed in which either a pdf based spectrum sensing or a detailed cyclostationary approach...