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Efficient FPGA implementation of a variable digital filter based spectrum sensing scheme for cognitive IoT systems

机译:面向认知物联网系统的基于可变数字滤波器的频谱感知方案的高效FPGA实现

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Wireless communication in Internet of Things (IoT) systems involves several devices communicating in the limited available frequency spectrum using different wireless communication standards. To achieve efficient spectrum usage in the IoT systems, it is desired to have the ability of dynamic spectrum allocation. Cognitive radios (CR) enable efficient spectrum utilization by performing spectrum sensing to gain the knowledge of current spectrum occupancy and dynamically reconfiguring the communication parameters, making them highly suitable for IoT systems. In this paper, we present the efficient hardware implementation of a spectrum sensing scheme for CR based IoT applications that require large bandwidth. We show that the proposed implementation on field programmable gate arrays (FPGAs) can achieve over 1.56x improvement in performance, while consuming 77% less generic resources and at a fractionally higher power consumption.
机译:物联网(IoT)系统中的无线通信涉及使用不同的无线通信标准在有限的可用频谱中进行通信的多个设备。为了在物联网系统中实现有效的频谱使用,期望具有动态频谱分配的能力。认知无线电(CR)通过执行频谱感测来获取当前频谱占用率的知识并动态重新配置通信参数,从而实现高效的频谱利用,使其非常适用于IoT系统。在本文中,我们为需要大带宽的基于CR的IoT应用提供了频谱感知方案的高效硬件实现。我们表明,在现场可编程门阵列(FPGA)上的拟议实现可以在性能上提高1.56倍以上,同时消耗的通用资源减少了77%,功耗也略有提高。

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