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Cognitive Cellular Systems: A New Challenge on the RF Analog Frontend

机译:认知蜂窝系统:射频模拟前端的新挑战

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摘要

Cognitive Cellular Systems are seen today as one of the most promising ways of moving forward solving or at least easing the still worsening situation of congested spectrum caused by the growing number of users and the expectation of higher data transfer rates. As the intelligence of a Cognitive Radio system is located in the digital domain - the Cognitive Engine and associated layers - extensive research has been ongoing in that domain since Mitola published his idea in 1999. Since, a big progress has been made in the domain of architectures and algorithms making systems more efficient and highly flexible. The pace of this progress, however, is going to be impeded by hard requirements on the received and transmitted signal quality, introducing ultimate challenges on the performance of the RF analog frontend, such as in-band local oscillator harmonics, ultra low sensitivity and ultra high linearity. The RF frontend is thus likely to become the limiting technical factor in the true realization of a Cognitive Cellular System. Based on short recapitulations of the most crucial issues in RF analog design for Cognitive Systems, this article will point out why those mechanisms become responsible for the limitation of the overall performance particularly in a broadband Cognitive Cellular System. Furthermore, as part of a possible solution to ease the situation, system design of a high intermediate frequency (IF) to UHF frequency converter for cognitive radios is discussed and the performance of such a converter analyzed as a proof of concept. In addition to successfully tackling some of the challenges, such a high-IF converter enables white space operation for existing commercial devices by acting as frequency converter. From detailed measurements, the capabilities in both physical layer and application layer performance of a high-IF frontend developed out of off-the-shelf components is explained and is shown to provide negligible degradation to the commercial device being connected to.
机译:如今,认知蜂窝系统被视为最有前途的解决方案之一,它可以进一步解决或至少缓解由于用户数量不断增长和对更高数据传输速率的期望而导致的频谱拥挤状况进一步恶化的情况。由于认知无线电系统的智能位于数字领域-认知引擎和相关层-自Mitola于1999年发表他的想法以来,该领域一直在进行广泛的研究。此后,在架构和算法使系统更加高效和高度灵活。但是,对接收和发送信号质量的严格要求将阻碍这一进展的步伐,从而给射频模拟前端的性能带来最终挑战,例如带内本地振荡器谐波,超低灵敏度和超高灵敏度。高线性度。因此,RF前端很可能会成为真正实现认知蜂窝系统的限制技术因素。基于对认知系统RF模拟设计中最关键问题的简短概括,本文将指出为什么这些机制会导致整体性能的局限,尤其是在宽带认知蜂窝系统中。此外,作为缓解这种情况的可能解决方案的一部分,讨论了用于认知无线电的高中频(IF)到UHF频率转换器的系统设计,并分析了这种转换器的性能,以此作为概念验证。除了成功应对一些挑战之外,这种高中频转换器还可以通过充当变频器来实现现有商用设备的空白操作。通过详细的测量,可以解释由现成组件开发的高中频前端在物理层和应用层性能方面的功能,并显示这些功能对所连接的商用设备的影响可忽略不计。

著录项

  • 来源
    《Frequenz》 |2016年第8期|353-362|共10页
  • 作者单位

    Rhein Westfal TH Aachen, Integrated Analog Circuits & RF Syst, D-52062 Aachen, Germany;

    Rhein Westfal TH Aachen, Integrated Analog Circuits & RF Syst, D-52062 Aachen, Germany;

    Rhein Westfal TH Aachen, Integrated Analog Circuits & RF Syst, D-52062 Aachen, Germany;

    Rhein Westfal TH Aachen, Integrated Analog Circuits & RF Syst, D-52062 Aachen, Germany;

    Rhein Westfal TH Aachen, Integrated Analog Circuits & RF Syst, D-52062 Aachen, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cognitive Radio; TV white spaces; high-IF architecture; dynamic range; linearity; frequecy converters;

    机译:认知无线电;电视空白空间;高中频架构;动态范围;线性度;变频器;

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