Spectrum sensing is one of the key elements in the establishment of cognitive radio. One of the most effective approaches for spectrum sensing is cyclostationary feature detection. Since modulated signals can be modeled as cyclostationary random signals, this feature can be used to recognize the cyclostationary modulated signal in a background of stationary noise even at low SNR regimes. This c...

Spectrum sensing techniques are envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage. In this paper various Spectrum Sensing Techniques like Energy Detection, Matched Filter, Cyclo-stationary Detection, Wavelet Detection are compared. The best one is evaluated for its performance. Then Cooperative Spectrum ...

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 cognitive radio networks, cognitive users can be coordinated to perform cooperative spectrum sensing so as to detect the primary user more accurately. In this paper, a hybrid cooperative spectrum sensing method is investigated to improve the sensing performance by exploiting double-fusion approach. In special, data fusion and decision fusion are both studied. For the first stage, cognitive u...

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...

The spectrum scarcity has led to rethink in the current frequency spectrum usage and develop a new concept of wireless networking. Opportunistic Spectrum Networks (OSNs) have been considered as a promising solution to the problem of spectrum shortage. In this paper, in order to compensate for the need of complex hardware, a novel and efficient Medium Access Control (MAC) framework that integrat...

Industrial Internet of Things (IIoT) usually utilizes 2.4-GHz unlicensed frequency band, which is also heavily used by many other communication systems, such as ZigBee, WiFi, Bluetooth, etc. Therefore, the lack spectrum resources has become a key technical bottleneck to restrict development IIoT. Integrating cognitive radio (CR) into IIoT, Cognitive IIoT (CIIoT) can cope with resource shortage ...

In this paper the performance of cooperative spectrum sensing scheme using double threshold energy detection technique in the presence of sensor noise has been investigated. Each cognitive user takes a local decision on spectrum occupancy and sends one bit information to convey its decision to a fusion center. The fusion center collects all decisions and takes a final decision about the presenc...

Spectrum scarcity is impeding practical implementations of emerging wireless multimedia applications requiring significantly more frequency spectrum. Cognitive radio (CR) has emerged as a promising solution to the current spectral congestion problem by imparting intelligence to the conventional software defined radio that allows spectrum sharing through opportunistic spectrum access. The princi...

To sense the spectrum efficiently in heterogeneous multi-channel and multi-user cognitive network, a parallel cooperative spectrum sensing strategy based on genetic algorithm is proposed. It defines the expression of system utility considering the transmission gain and sensing overhead, and protects the primary user network by introducing the penalty function. To obtain the largest system utili...