In this paper, we combine practically verified results from circuit theory with communication-theoretic laws. As a result, we obtain closed-form theoretical expressions linking fundamental system design and environment parameters with the power consumption of analog front ends (AFEs) for communication receivers. This collection of scaling laws and bounds is meant to serve as a theoretical reference for practical low power AFE design. We show how AFE power consumption scales with bandwidth, $\mathit {SNDR}$ , and $\mathit {SIR}$ . We build our analysis based on two well established power consumption studies and show that although they have different design approaches, they lead to the same scaling laws. The obtained scaling laws are subsequently used to derive relations between AFE power consumption and several other important communication system parameters, namely, digital modulation constellation size, symbol error probability, error control coding gain, and coding rate. Such relations, in turn, can be used when deciding which system design strategies to adopt for low-power applications. For instance, we show how AFE power scales with environment parameters if the performance is kept constant and we use these results to illustrate that adapting to fading fluctuations can theoretically reduce AFE power consumption by at least 20x.

中文翻译：

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无线电接收器前端的功率缩放定律

在本文中，我们将电路理论的实际验证结果与通信理论定律相结合。结果，我们获得了封闭形式的理论表达式，将基本的系统设计和环境参数与通信接收机的模拟前端（AFE）的功耗联系在一起。缩放定律和范围的集合旨在为实用的低功耗AFE设计提供理论参考。我们展示了AFE功耗如何随带宽而变化， $ \ mathit {SNDR} $ ， 和 $ \ mathit {SIR} $ 。我们基于两项完善的功耗研究建立了分析，并表明尽管它们具有不同的设计方法，但它们导致了相同的缩放定律。所获得的缩放定律随后用于导出AFE功耗与其他几个重要的通信系统参数之间的关系，这些参数即数字调制星座图大小，符号错误概率，错误控制编码增益和编码率。反过来，在确定针对低功耗应用采用的系统设计策略时，可以使用这种关系。例如，我们展示了在保持性能不变的情况下AFE功率如何随环境参数缩放，并且我们使用这些结果来说明适应衰落波动理论上可以使AFE功耗至少降低20倍。