Architectural Analysis for Wirelessly Powered Computing Platforms
We present a design framework for wirelessly powered generic computing platforms that takes into account various system parameters in response to a time-varying energy source. These parameters are the charging profile of the energy source, computing speed (f(clk)), digital supply voltage (V-DD), energy storage capacitance (C-s), and power conversion efficiency (eta). We address both continuous and discrete operational modes of computation based on the energy source's charging profile. Unlike other reported works where investigations are limited to wireless energy transfer and functional demonstrations, our aim is to develop a theoretical model that comprises the complete system architecture by combining energy transfer and consumption in a step-by-step manner. We show that field resilience operation in a wireless energy field can be incorporated by modulating the power consumption in the digital platform in response to changing energy fields using this analysis. This paper also allows guidelines for choosing the appropriate computing policies based on the charging profile of energy source. This leads to an optimal, adaptive use of available energy in order to optimize the overall performance.
wireless energy energy efficiency field resilience adaptive computation (throughput)