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首页> 外文期刊>Microprocessors and microsystems >An SoC architecture for energy detection based spectrum sensing using Low Latency Column Bit Compressed (LLCBC) MAC in cognitive radio wireless sensor networks
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An SoC architecture for energy detection based spectrum sensing using Low Latency Column Bit Compressed (LLCBC) MAC in cognitive radio wireless sensor networks

机译:认知无线电无线传感器网络中使用低延迟列位压缩(LLCBC)MAC的基于能量检测的SoC架构

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摘要

Wireless Sensor Network (WSN) requires Signal Processing and control applications in order to use technology effectively. Digital Signal Processing presents a wide range of applications in various fields with the exception of WSN due to the power constraint factor. The Spectrum holes can be effectively utilized by means of spectrum sensing technique in WSN. Multiply and Accumulate unit (MAC) is the computation Kernel in DSP Systems which in turn computes the overall speed of the system. Also, MAC is the major power consumption block due to its complex operation. Developing low power and high speed MAC and utilizing it in spectrum sensing for WSN is a challenging task. In this research, Low Latency Column Bit Compressed (LLCBC) MAC architecture is used for spectrum sensing by examining the hardware complexities. The Architecture is synthesized with 90 nm standard CMOS library using cadence SoC encounter. (C) 2019 Published by Elsevier B.V.
机译:无线传感器网络(WSN)需要信号处理和控制应用程序才能有效使用技术。由于功率限制因素,除了WSN之外,数字信号处理在各个领域都有广泛的应用。通过WSN中的频谱感测技术可以有效地利用频谱孔。乘法和累加单元(MAC)是DSP Systems中的计算内核,它反过来可以计算系统的整体速度。而且,由于MAC的复杂操作,它是主要的功耗块。开发低功耗和高速MAC并将其用于WSN的频谱感测是一项艰巨的任务。在这项研究中,通过检查硬件复杂性,将低延迟列位压缩(LLCBC)MAC体系结构用于频谱感测。该架构使用cadence SoC技术与90 nm标准CMOS库进行合成。 (C)2019由Elsevier B.V.发布

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