NS3-based high-dynamic electromagnetic spectrum cognition management system and method thereof

Abstract

The invention provides an NS3-based high-dynamic electromagnetic spectrum cognition management system and a method thereof. The NS3-based high-dynamic electromagnetic spectrum cognition management system comprises an MCRN network. The MCRN network comprises a primary user group PUs, a cognitive radio user group CRs and a cognitive radio user fusion center. The primary user group Pus formed by M primary users, the cognitive radio user group CRs formed by N cognitive radio users and the cognitive radio user fusion center share some section of electromagnetic spectrum. Each cognitive radio user CR comprises an MCRN-NS3 extension module. The MCRN-NS3 extension module comprises four submodules. The four submodules are a spectrum intelligent sensing module, a spectrum decision module, a spectrumswitching module and a spectrum sharing module. The system can realize functions of cognitive radio spectrum sensing, primary user detection and spectrum intelligent switching and the like, and besides, can further expand a new function.

Description

technical field [0001] The present invention relates to the technical field of cognitive radio and cognitive network, in particular to an NS3-based high dynamic electromagnetic spectrum cognitive management system and method thereof. Background technique [0002] In the future, smart cities will realize comprehensive and thorough perception, broadband ubiquitous interconnection, and intelligent fusion applications through new-generation information technologies such as the Internet of Things and cloud computing. This will inevitably put forward higher requirements for wireless spectrum resources and bandwidth. However, limited wireless Spectrum resources can no longer meet this demand. And the cognitive radio (Cognitive Radio, CR) technology provides a new solution to alleviate the problem of spectrum scarcity. Cognitive Radio users (CRs) adaptively perceive the surrounding target licensed frequency bands, and without affecting the normal communication of primary users (Pri...

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Problems solved by technology

There are also some materials that use NS2 to study a cognitive radio extension module CogNS, each CR node in the module is equipped with a network interface for sensing PU activity, and infers the available idle channels according to the proposed spectrum decision algorithm, but in the extension module CR nodes do not support multi-radio

In addition, the research on the above data is mainly applicable to static cognitive networks, that is, both CRs and PUs are static, and it is not yet possible to accurately simulate the large-scale, highly dynamic, complex and heterogeneous cognitive network environment of the actual mobile wireless communication system in the future.

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