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首页> 外文期刊>Latin America Transactions, IEEE (Revista IEEE America Latina) >State of Art, MVNO for Advanced Metering Infrastructure basad on Radio Cognitive for Channel Allocation
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State of Art, MVNO for Advanced Metering Infrastructure basad on Radio Cognitive for Channel Allocation

机译:最新技术,基于无线电认知的高级计量基础设施的MVNO,用于信道分配

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摘要

In this paper we verify the possibility of implementing an AMI infrastructure used part of a cellular network infrastructure that is already installed and running, without the new secondary network (AMI) affects to the subscribers of the core network (MNO), taking advantage of the new models of spectrum utilization, the dynamic spectrum access (DAS), recognition of empty spaces that are within the communications infrastructure. The goal is to implement AMI economically and ensuring that both operators are not affected even if the number of users increases, the possibility of using meta-heuristic algorithms in order to optimize the recognition of a blank in the analyzed transmission medium for AMI enter to operate as an MVNO, and the best that AMI can be a C-MVNO to reduce rental costs of the channel.
机译:在本文中,我们验证了利用已安装并正在运行的蜂窝网络基础架构的一部分来使用AMI基础架构的可能性,而不会利用核心网络(MNO)的新辅助网络(AMI)对订户的影响。频谱利用的新模型,动态频谱访问(DAS),识别通信基础架构内的空白区域。目标是经济地实施AMI,并确保即使用户数量增加,两个运营商也不会受到影响,使用元启发式算法以优化分析的传输介质中AMI输入操作的空白识别的可能性作为MVNO,最好的AMI可以是C-MVNO,以减少渠道的租赁成本。

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