Analysis of Conventional and Double Threshold Based Spectrum Sensing in Cognitive Radio

Content Provider	NIT Kurukshetra
Advisor	Verma, Pankaj
Researcher	Kumar, Deepak
Date Awarded	2016-01-01
Abstract	Cognitive radio is the emerging technology that offers a solution to the looming problem of the spectrum scarcity caused by rapid growth in wireless communication services. A cognitive radio is having the capabilities to obtain the knowledge of system states, autonomously and dynamically adjust its operating parameters and learn from the results. Cognitive radio performs spectrum sensing to efficiently utilize the unused spectrum while protecting primary users (licensed user) from harmful interference on account of the secondary users (unlicensed user) operations. Energy detection based spectrum sensing has gained more interest because of its simplicity and non-requirement of any information about primary user. This method of detection suffers from the problem of noise uncertainty in the low signal to noise ratio regions. To overcome this problem, double threshold based energy detection method was proposed in the literature. In this thesis, we have carried out the analysis of both single and double thresholds based energy detection methods in terms of various parameters such as: the probability of detection, the probability of false alarm, the numbers of sensing rounds etc. Further, the trade-off between sensing performance and sensing rounds in the case of double threshold based energy detection method is also proposed. An adaptive double threshold based energy detection algorithm, including uncertainty parameter is proposed, to minimize the probability of error. Accessing the spectrum in the scenario of multiple secondary users is also a challenging task in the cognitive radio networks. Two frizzy logic models, i.e. Mamdani and Takagi-Sugeno are analyzed for the selection of secondary user to access the spectrum, based upon the input parameters: spectrum efficiency, mobility of secondary user and distance between primary user and secondary user.
Page Count	78
File Format	PDF
Language	English
Publisher Department	Department of Electronics & Communication Engineering
Publisher Institution	National Institute of Technology, Kurukshetra
Publisher Place	Kurukshetra, Haryana
Access Restriction	Open
Subject Keyword	Adaptive Double Threshold Based Spectrum Sensing Adaptive Double Threshold Calculation Cognitive Radio Technology Cooperative Spectrum Sensing Technique Fuzzy Logic Model Types Interference Based Spectrum SensIng Technique Mamdani Model Membership Functions Network Component Network Heterogeneity Rule Selection Secondary User Selection Using Fuzzy Logic System Single and Double Threshold Based Energy Detection Methods Single Threshold Based Energy Detection Spectrum Access Decision Spectrum Analysis Spectrum Assignment Framework Spectrum Heterogeneity Spectrum Sensing Techniques Transmitter Spectrum Sensing Technique
Content Type	Text
Educational Degree	Master of Technology (M.Tech.)
Resource Type	Thesis