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Cognitive radio based multi-node cooperative spectrum detection

Author: ChenChen
Tutor: ZhuZuo
School: Nanjing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Cognitive radio Cooperative spectrum sensing System Throughput Clustering Network Parameter Optimization
CLC: TN925
Type: Master's thesis
Year: 2011
Downloads: 60
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Abstract


Cognitive radio is to solve the problem of a shortage of spectrum efficient technologies, spectrum detection technology is the core technology of cognitive radio, cognitive users to detect their environment to discover the \case the user improve the spectrum efficiency. Due to multipath fading effects and depth of the impact of \Cooperative spectrum sensing can effectively deal with \This article from multiple angles collaboration based on multi-node spectrum detection conducted in-depth research, the number of users for participation in testing and system throughput parameter optimization, and propose a method for detecting clustering collaborative clustering algorithm. In this paper, spectrum sensing based on energy detection method to analyze the cooperative detection based on multi-node system model to study the different data fusion criterion based collaborative detection algorithm to analyze the signal to noise ratio and sampling points on the detection probability and false alarm Probability performance impact. Simulation results show that the three kinds of data fusion based collaborative spectrum sensing algorithm based on a single node spectrum detection are compared to a certain extent and improve the detection performance. For cooperative detection, the more users participate, the better the spectral detection performance, but as the number of users increases, the system for detecting the overhead increases rapidly. The number of users based on the best cooperative detection research is how to meet the system performance under the premise of detecting a tradeoff between performance and detection overhead involved in cooperative detection to optimize the number of users. This paper analyzes based on the \good number of users. In this paper, cooperative spectrum sensing in cognitive radio parameters given cooperative detection system throughput based concept and system throughput is derived mathematical expressions. Studies based on the optimal system throughput parameter optimization problem by mathematical derivation prove the existence of a certain degree of probability of false alarm and the maximum number of users makes the system throughput, respectively, and the optimal probability of false alarm and the optimal number of users expression. The simulation results also proved the correctness of theoretical derivation. Finally, the paper on cognitive radio network using hierarchical structure were detected, the network is divided into clusters, cluster nodes and cluster head normal form the first layer of the network; cluster head forms the second layer network, responsible for long-distance data routed. Hierarchical network can either ensure that the original data communication within the coverage can also be significant savings in network energy. This paper proposes a clustering protocol based on improved leach algorithm that combines a collaborative user diversity detection technology and leach clustering protocol for dynamic clustering technology, cluster head election process using hierarchical cluster head electoral mechanisms, both to extend the network lifetime, but also improves the detection performance of the network. Simulation results show that the improved algorithm based on the leach clustering spectrum detection system has a good performance, to ensure effective use of the overall network energy while improving system detection performance.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Radio relay communications,microwave communications
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