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Research On Cognitive Wireless Radio Network Resource Allocation And Management

Posted on:2015-11-02Degree:MasterType:Thesis
Country:ChinaCandidate:L ShuFull Text:PDF
GTID:2308330428969502Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Cognitive radio technology is a new technology to improve the spectrum efficiency, which changes according to the surrounding environment adaptive radio users modify the system’s operating parameters in real time, dynamic and effective conduct of idle radio spectrum use. The key technology of cognitive radio networks for resource optimization and management, and it has also become a research hotspot. In this paper, the technical principles of cognitive wireless networks and basic research at home and abroad, this paper carries out research on cognitive radio network resource optimization management, and has made the following achievements:Firstly, this paper gives a brief introduction to CR and spectrum allocation and mainly introduces the basic principles and functions of cognitive radio, in addition, on the radio spectrum allocation technology highlights, and then analyzes and compares the spectrum allocation model; mainly compares the color-sensitive graph coloring algorithms and CSGC multi-cell joint local bargaining spectrum allocation algorithm.Secondly, as to the available channel bandwidth of differences in characteristics, frequency, interference range and transmission range of cognitive radio network, cross-layer optimization framework is proposed, which applies to cognitive radio spectrum allocation, scheduling and routing algorithm. The advantage of this method is the ability to take advantage of known channel characteristic information to constitute the scheduling matrix and changed the mixed integer linear programming optimization problem of NP-hard into simplified ordinary linear programming problem, and proposes an applicable traversal algorithm, reducing the Construction schedule matrix calculation complexity significantly (from the original O (2M) is reduced to O (M2)). The simulation results also has been proved in this paper that the algorithm can significantly improve the performance of cognitive radio networks.Finally, the application of cognitive radio spectrum allocation was introduced in this paper, and the application and development of CR also was summarized.
Keywords/Search Tags:Cognitive Radio Networks, Resources, Allocation, Management
PDF Full Text Request
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