Internet of Things: A Review on Theory Based Impedance Matching Techniques for Energy Efficient RF Systems

Within an increasingly connected world, the exponential growth in the deployment of Internet of Things (IoT) applications presents a significant challenge in power and data transfer optimisation. Currently, the maximization of Radio Frequency (RF) system power gain depends on the design of efficient, commercial chips, and on the integration of these chips by using complex RF simulations to verify bespoke configurations. This work presents a versatile design framework for the optimal design in terms of power delivered to a load of a typical RF system, which consists of an antenna, a matching network, a load (e.g., integrated circuit) and transmission lines which connect all these parts. The aim of this design framework is not only to reduce the computational effort needed for the design and prototyping of power efficient RF systems, but also to increase the accuracy of the analysis, based on the explanatory analysis within our design framework.

Congratulations to Dr. Benoit Couraud for publishing this paper in the JPLEA as part of the Special Issue Artificial Intelligence of Things. To view this paper please see the following link: https://www.mdpi.com/2079-9268/11/2/16

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