![]() | Only 14 pages are availabe for public view |
Abstract It is an important issue these days to find out approaches to face and overcome the spectrum scarcity arising recently due to the dependent on fixed spectrum allocation methodology in wireless services. On the other hand, the spectrum usage is concentrated on certain portions of the spectrum while a significant amount of the spectrum remains unutilized (white spaces). To solve this problem and exploit the existing wireless spectrum opportunistically, we need to use the concept of spectrum reuse by using cognitive radios (CR). First chapter gives an introduction showing the motivation of this thesis and also introduce an outline of the thesis. Second chapter discusses seven points which can be considered as a brief introduction to the concept of cognitive radio. These points are as follows: first point discusses the need to new technology that makes spectrum utilization efficient. Second point presents an overview of some standardization activities on cognitive radio. Third and fourth points are concerned with definition of cognitive radio including the main characteristics and the architectures of CR networks. The aim of the thesis which is the spectrum sensing is reported in the fifth point showing the different methods of spectrum sensing and states the advantages and disadvantages of each one. Sixth point demonstrates the types of spectrum sharing. And in the seventh point we present the concept of spectrum pooling and the use of OFDM techniques in wideband based cognitive radio. Third chapter discusses the sensing in individual cognitive radio through nine points. First point demonstrates why we use the energy detector, while in the second point a brief historical background on signal processing is presented. Third point discusses the two hypotheses in sensing the primary users and, the model derived for each one. In the fourth and fifth points, expressions for the probability of detection and probability of false alarm will be derived. The sixth point discussed the optimization of threshold in order to minimize the overall error probability. The seventh point presents an approximate model for both probability of detection and false alarm for the purpose of simplicity in analysis. In the eighth point that approximated model is used in determining the optimal sensing duration to maximize the achievable throughput. The ninth point discusses the concept of splitting the sensing slot in each frame to multiple discontiguous mini-slots. Fourth chapter discusses the spectrum sensing through cognitive radio users collaboration. This chapter consists of five points which are considered as follows: The first point presents a brief discussion showing the need for cooperative spectrum sensing. The second point demonstrates the various fusion rules used in making the final decision. Third point discusses the impact of realistic reporting channels, while the fourth point introduces two techniques used to overcome the performance degradation resulting from the imperfect reporting channels. The fifth point focuses on the impact of user collaboration on the performance of opportunistic spectrum access. |