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首页> 外文期刊>Annales des Telecommunications >A Big Data architecture for spectrum monitoring in cognitive radio applications
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A Big Data architecture for spectrum monitoring in cognitive radio applications

机译：用于认知无线电应用中频谱监控的大数据架构

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摘要

Cognitive radio has emerged as a promising candidate solution to improve spectrum utilization in next-generation wireless networks. A crucial requirement for future cognitive radio networks is the wideband spectrum sensing, which allows detecting spectral opportunities across a wide frequency range. On the other hand, the Internet of Things concept has revolutionized the usage of sensors and of the relevant data. Connecting sensors to cloud computing infrastructure enables the so-called paradigm of Sensing as a Service (S_(2)aaS). In this paper, we present an S_(2)aaS architecture to offer the Spectrum Sensing as a Service (S_(3)aaS), by exploiting the flexibility of software-defined radio. We believe that S_(3)aaS is a crucial step to simplify the implementation of spectrum sensing in cognitive radio. We illustrate the system components for the S_(3)aaS, highlighting the system design choices, especially for the management and processing of the large amount of data coming from the spectrum sensors. We analyze the connectivity requirements between the sensors and the processing platform, and evaluate the trade-offs between required bandwidth and target service delay. Finally, we show the implementation of a proof-of-concept prototype, used for assessing the effectiveness of the whole system in operation with respect to a legacy processing architecture.
机译：认知无线电已经成为提高下一代无线网络频谱利用率的有前途的候选解决方案。未来的认知无线电网络的一项关键要求是宽带频谱感测，它可以在很宽的频率范围内检测频谱机会。另一方面，物联网概念彻底改变了传感器和相关数据的使用方式。将传感器连接到云计算基础架构可以实现所谓的即服务即服务（S_（2）aaS）范式。在本文中，我们提出了一种S_（2）aaS架构，通过利用软件定义无线电的灵活性来提供频谱感知即服务（S_（3）aaS）。我们认为，S_（3）aaS是简化认知无线电中频谱感知的实施的关键步骤。我们说明了S_（3）aaS的系统组件，重点介绍了系统设计选择，特别是用于管理和处理来自频谱传感器的大量数据的系统设计。我们分析传感器与处理平台之间的连接性要求，并评估所需带宽与目标服务延迟之间的权衡。最后，我们展示了概念验证原型的实现，该原型用于评估整个系统相对于传统处理体系结构的有效性。

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