Journal
JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS
Volume 11, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/jlpea11020016
Keywords
internet of things (IoT); RF circuit; RF integration; transmission line theory
Categories
Funding
- Engineering and Physical Sciences Research Council [EP/L014998/1]
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The rapid growth of IoT applications poses a significant challenge in power and data transfer optimization, especially in the design of RF systems for overall power efficiency. Effective RF system design should consider impedance matching between antennas and chips to improve overall power efficiency.
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. However, even if a standard 50 Omega transmitter's chip has an efficiency of 90%, the overall power efficiency of the RF system can be reduced by 10% if coupled with a standard antenna of 72 Omega mu. Hence, it is necessary for scalable IoT networks to have optimal RF system design for every transceiver: for example, impedance mismatching between a transmitter's antenna and chip leads to a significant reduction of the corresponding RF system's overall power efficiency. This work presents a versatile design framework, based on well-known theoretical methods (i.e., transducer gain, power wave approach, transmission line theory), 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. Simulated and measured results verify the accuracy of this proposed design framework over a 0-4 GHz spectrum. Finally, a case study based on the design of an RF system for Bluetooth applications demonstrates the benefits of this RF design framework.
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