Cognitive wireless network topology reconfiguration method and system

Abstract

Disclosed are a method and system for cognitive wireless network topology reconstruction. The method comprises the steps of: S1, acquiring network topology information by utilizing a cognitive network tomography technology on the basis of information of a wireless environment and of a wireless parameter; S2, acquiring influencing factors of a wireless network topology on the basis of network topology information, where the influencing factors comprise the mobility of a node and dynamic allocation of spectrum resources; S3, analyzing a performance indicator achieved by the reconstruction; S4, analyzing the influencing factors and the performance indicator, forming a topology reconstruction plan; and, S5, reconstructing the topology on the basis of the topology reconstruction plan. Employment of the method and system of the present invention for cognitive wireless network topology reconstruction gives full consideration to features such as the dynamic nature, mobility, and heterogeneousness in a cognitive wireless network, combines the features with the allocation of spectrum resources, channel capacity, and latency characteristics to produce the topology reconstruction of the cognitive wireless network, and allows for further optimized, comprehensive, and effective reconstruction decision-making.

Description

technical field [0001] The present invention relates to the field of wireless network transmission, in particular to a method and system for cognitive wireless network topology reconfiguration. Background technique [0002] The contradiction between the low utilization rate of traditional wireless spectrum resources and the current huge spectrum demand has contributed to the emergence of cognitive radio technology. Cognitive radio technology introduces the concept of cognitive users, allowing cognitive users to opportunistically use licensed frequency bands when they are free, thus providing a solution for bridging the gap between limited spectrum resources and huge demands. Cognitive radio technology improves spectrum utilization by adopting mechanisms such as spectrum sensing, dynamic spectrum allocation, and dynamic spectrum sharing. But cognitive radio's unique perception, reasoning, learning and adaptability make cognitive wireless network more complex and difficult to...

AI Technical Summary

Problems solved by technology

[0004] To sum up, topology reconfiguration has the following problems in data transmission in a cognitive wireless environment: 1) The available channel resources are time-varying and can only be used opportunistically, and channel changes will change the topology; 2) Node dynamics 3) In a heterogeneous environment, the on-demand routing of different network cognitive users needs to take into account the characteristics of different networks for link connection, which may need to be changed Only the original topology structure can complete the data transmission; 4) Nodes frequently switch channels between different channels will bring serious switching delay and affect network performance; 5) The global topology information cannot be accurately known; 6) Users need to avoid The interference of the primary user will cause backoff delay when the primary user appears

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