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Research on Intelligent Sensing and Power Control Method in Cognitive Radio Network

Author: YeDan
Tutor: WangYiMing
School: Suzhou University
Course: Communication and Information System
Keywords: Cognitive radio Spectrum sensing Spectrum coexistence IEEE 802.22 wireless local area network Adaptive sensing threshold value Power detector Scatterer Neural Networks Centroid algorithm Non - line-of-sight propagation Positioning error Detection performance
CLC: TN92
Type: Master's thesis
Year: 2010
Downloads: 200
Quote: 2
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Abstract


Cognitive radio CR (Cognitive Radio) as a revolutionary smart sharing technology, can significantly improve the spectrum utilization. Cognitive radio uses dynamic frequency access, should have the function of automatic detection of radio spectrum holes. Establish cognitive radio network CRN (Cognitive radio networks) primary solve the core problem is how to use spectrum sensing technology to accurately identify the spectrum hole detection authorized users. Cognitive users and authorized users operating in the same band, the cognitive users how to use power control to adjust the transmission power to guarantee the the authorized user quality of service at the same time achieve dynamic spectrum access and spectrum sharing. This paper studies the cognitive radio network spectrum sensing technology and power control technology, innovation mainly in the cognitive user IntelliSense transmission power control technology. The article first analyzes the research background and significance of domestic and international development of the status quo, a brief introduction to the key of cognitive radio technology, and then summarize and analyze the existing spectrum sensing technology. Focused on 802.22 wireless local area network system based on cognitive radio technology program authorized user band characteristic perception. The study focused on DVB-T, AM wireless microphone signal characteristics of two types of authorized users to fine-aware, and analyzes the parameters such as the length of the cycle and delay detection performance. The results show that the increase calculated when the autocorrelation function of the length of the cycle or sampling points, reducing the delay signal detection are conducive to verify the algorithm's excellent. The algorithm can improve system spectrum sensing performance, better protection of authorized users to fully tap the spectrum resources. Secondly, based on the analysis of the coexistence model of cognitive users and authorized users the perception threshold setting method based on adaptive authorized users power detection and access control program, authorized user for IEEE802.22 wireless local area network , respectively, mathematical analysis and model simulation. Adaptive sensing threshold adjustment to control the transmit power of cognitive users can maintain constant missed and false alarm probability, to get the best spectrum sensing performance, cognitive authorized users are not to interfere with authorized users coexistence . Finally, based on the environment under non-line-of-sight (NLOS) Single Reflection statistical channel model, the reflected radio wave of the mobile station via a plurality of scattering body, measured by a double base much group to reach the angle (AOA) and the master base station provides a radio wave arrival time (TOA), the primary user of a combination of neural networks and weighted centroid algorithm to authorized users to locate a new method based on the use of primary and secondary double base station to the mobile terminal around scatterer positioning. Describe the positioning model and positioning algorithm, combined with the neural network of the revision of the estimates and the positioning of scattered information will empower the user to locate the results into the adaptive perceptual threshold algorithm. The algorithm can be effectively suppressed NLOS error, and further improve the positioning accuracy, facilitate the cognitive user adaptively adjusted sensing threshold value more accurately, reducing the error of the threshold value. That the positioning algorithm can improve the detection performance impact on the perception of detection performance by analyzing the positioning error of various positioning algorithms to obtain more accurate coexistence probability.

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