基于遗传算法的认知信道分配模型

2016 Second International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2016-08-18 DOI:10.1109/CICT.2016.110

S. Singh, Achal Kaushik, D. P. Vidyarthi

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引用次数: 7

摘要

众所周知，无线电频道很少，但同时，这些资源没有得到适当利用也是事实。认知无线电使次要用户(机会用户)能够在主要用户不使用它时利用无线电信道。在这项工作中，提出了一个基于认知无线电和遗传算法概念的模型，有助于更好地利用信道。对该模型进行了仿真，仿真研究表明了所提工作的有效性。

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A Model for Cognitive Channel Allocation Using GA

It is well known that radio channels are scarce but at the same time it is also true these resource are not utilized properly. Cognitive radio enables the secondary user (opportunistic user) to utilize the radio channels whenever the primary users are not using it. In this work, a model is proposed based on the concept of cognitive radio and GA that aids in better utilization of channels. The model has been simulated and simulation study indicates the efficacy of the proposed work.

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2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)

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