低功耗接收机前端：缩放定律及其应用
Low Power Receiver Front Ends: Scaling Laws and Applications
摘要：
在本文中，我们结合通信理论的法律与已知的，实际验证的结果从电路理论。其结果是，我们得到封闭形式的理论表达式，将基本系统设计和环境参数与通信接收机的模拟前端的功耗联系起来。这些缩放定律和边界的集合旨在为实际的低功耗前端设计提供理论参考。在一组结果中，我们首先发现，如果环境参数（衰落和阻塞水平）是静态的，则前端功耗至少按SNDR ^3/2缩放。所得到的缩放定律随后被用于推导前端功耗与其他几个重要的通信系统参数之间的关系，即，数字调制星座大小、符号错误概率、差错控制编码增益和编码速率。这种关系，反过来，可以使用时，决定采用低功耗应用的系统设计策略。例如，如果采用差错控制编码，则对于整个接收机而言最节能的策略是使用具有适度编码增益和简单解码算法的码，诸如卷积码。在另一组结果中，我们发现如果性能保持不变，前端功率如何随环境参数而变化。这产生了适应通信环境的接收机的平均功率降低的界限。例如，如果接收器前端适应衰落波动，同时保持性能高于某个给定的最低要求，则与非自适应前端相比，功率理论上可以降低至少20倍。
英文摘要：
In this paper, we combine communication-theoretic laws with known, practically verified results from circuit theory. As a result, we obtain closed-form theoretical expressions linking fundamental system design and environment parameters with the power consumption of analog front ends for communication receivers. This collection of scaling laws and bounds is meant to serve as a theoretical reference for practical low power front end design. In one set of results, we first find that the front end power consumption scales at least as SNDR^3/2 if environment parameters (fading and blocker levels) are static. The obtained scaling law is subsequently used to derive relations between front end 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 example, if error control coding is employed, the most energy-efficient strategy for the entire receiver is to use codes with moderate coding gain and simple decoding algorithms, such as convolutional codes. In another collection of results, we find how front end power scales with environment parameters if the performance is kept constant. This yields bounds on average power reduction of receivers that adapt to the communication environment. For instance, if a receiver front end adapts to fading fluctuations while keeping the performance above some given minimum requirement, power can theoretically be reduced at least 20x compared to a non-adaptive front end.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
