Time- and Power-Splitting Strategies for Ambient Backscatter System

An ambient backscatter system could utilize the exiting ambient RF signals as both energy source and information carrier to enable the communications among battery-free devices and is deemed as a promising communication primitive for the Internet of Things (IoT). In this paper, we propose a time splitting strategy (TSS) and power splitting strategy (PSS) for the ambient backscatter system, where the tag-reflection coefficient is optimized according to dynamic channel variation. We also derive the analytical expressions of the outage probability and the optimal throughput for both the TSS and the PSS, which provides insights on the impact of system parameters, e.g., channel variance, RF source power, and circuit power consumption. The simulations showed that the proposed strategies can significantly outperform the traditional counterparts that rely on fixed reflection coefficient.