Spectrum sensing, in particular, detecting the presence of licensed or incumbent users in licensed spectrum, is one of the pivotal tasks in cognitive radio network. In this paper, we tackle the spectrum sensing problem by using statistical test theory and derive novel spectrum sensing approaches. We apply the classical Kolmogorov-Smirnov (KS) test under the assumption that the noise probability...

CERTIFICATE This is to certify that the thesis entitles " Spectrum Sensing Methods in Cognitive Radio " submitted by Siddharth Jain (Roll no: 107EC024) and Ravi Baid Jain (Roll no: 107EC026) in partial fulfillment of the requirements for the award of Bachelor of Technology Degree in Electronics and Communication at National Institute of Technology, Rourkela is an authentic work carried out by t...

Spectrum vacancies that stem from current non-usage of the spectrum band by legacy primary users can be detected using various spectrum sensing techniques. These techniques depend on the actual knowledge of the radio environment being inspected, i.e. signal characteristics, noise levels etc. The simplest and most common spectrum sensing technique is energy based detection that needs no a priori...

Cognitive Radio (CR) is an embryonic technology which able to increase the spectrum utilization by allowing the CR users to carry unused radio spectrum from primary licensed users or share the spectrum with the primary users without causing the inference by spectrum sensing method. This method is used for sensing the used spectrum, and we focus on the performance of CR users based on spectrum s...

Cognitive radio arises as a hot research issue in wireless communications recently, attributed to its capability of enhancing spectral efficiency and catering for the growing demand for bandwidth. As a good embodiment of cognitive radio’s unique feature, i.e. making use of every bit spectral resource, spectrum sensing plays a vital role in the implementation of cognitive radio. To alleviate neg...

Research on spectrum sensing and spectrum switching that are the key technologies of cognitive radio dynamic spectrum access is carried out in this paper. In order to reduce the required number of dualistic detection when in low spectrum occupancy rate and reduce the complexity of wideband spectrum sensing calculation, this paper presents a wideband spectrum sensing method based on group testin...

In the wideband regime, direct spectrum estimation requires the use of power hungry high-rate analog-to-digital converters to satisfy the required high Nyquistrate. While compressive sampling is popular for perfect reconstruction of sparse signals sampled below the Nyquist rate, for some applications, such as spectrum sensing for cognitive radio, perfect signal reconstruction is an overkill sin...

Accurate detection performance of spectrum sensing will obviously affect the communication quality of licensed users and secondly users. Robust spectrum sensing algorithm can reduce interfere to primary users. This paper presents a new OFDM cyclic spectrum sensing scheme which based on overlay parts sub-carriers to original OFDM signals. In this paper, the parts sub-carriers come from original ...

Wideband spectrum sensing is an essential functionality for cognitive radio networks. It enables cognitive radios to detect spectral holes over a wideband channel and to opportunistically use under-utilized frequency bands without causing harmful interference to primary networks. However, most of the work on wideband spectrum sensing presented in the literature employ the Nyquist sampling which...

The growing number of wireless devices for in-house use is causing a more intense use of the spectrum to satisfy the required quality-of-service such as throughput. This has contributed to spectrum scarcity and interference problems particularly in home area networks (HAN). Cognitive radio (CR) has been recognized as one of the most important technologies which could solve these problems and su...